A novel role of the mitochondrial iron-sulfur cluster assembly protein ISCU-1/ISCU in longevity and stress response

Sheng, Yi; Yang, Guang; Casey, Kaitlyn; Curry, Shayla; Oliver, Mason; Han, Sung Min; Leeuwenburgh, Christiaan; Xiao, Rui

doi:10.1007/s11357-021-00327-z

Cited by 14 publications

(10 citation statements)

References 60 publications

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“…At present, many diagnostic systems based on artificial intelligence are used to analyze and classify images ( Sheng et al, 2021 ; Jiao et al, 2021a ). It is inevitable to extract the features of images for analyzing and classifying images ( Jiao et al, 2021b ).…”

Section: Methodsmentioning

confidence: 99%

RETRACTED: BCNet: A Novel Network for Blood Cell Classification

Zhu

Wang

et al. 2022

Front. Cell Dev. Biol.

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Aims: Most blood diseases, such as chronic anemia, leukemia (commonly known as blood cancer), and hematopoietic dysfunction, are caused by environmental pollution, substandard decoration materials, radiation exposure, and long-term use certain drugs. Thus, it is imperative to classify the blood cell images. Most cell classification is based on the manual feature, machine learning classifier or the deep convolution network neural model. However, manual feature extraction is a very tedious process, and the results are usually unsatisfactory. On the other hand, the deep convolution neural network is usually composed of massive layers, and each layer has many parameters. Therefore, each deep convolution neural network needs a lot of time to get the results. Another problem is that medical data sets are relatively small, which may lead to overfitting problems.Methods: To address these problems, we propose seven models for the automatic classification of blood cells: BCARENet, BCR5RENet, BCMV2RENet, BCRRNet, BCRENet, BCRSNet, and BCNet. The BCNet model is the best model among the seven proposed models. The backbone model in our method is selected as the ResNet-18, which is pre-trained on the ImageNet set. To improve the performance of the proposed model, we replace the last four layers of the trained transferred ResNet-18 model with the three randomized neural networks (RNNs), which are RVFL, ELM, and SNN. The final outputs of our BCNet are generated by the ensemble of the predictions from the three randomized neural networks by the majority voting. We use four multi-classification indexes for the evaluation of our model.Results: The accuracy, average precision, average F1-score, and average recall are 96.78, 97.07, 96.78, and 96.77%, respectively.Conclusion: We offer the comparison of our model with state-of-the-art methods. The results of the proposed BCNet model are much better than other state-of-the-art methods.

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Section: Methodsmentioning

confidence: 99%

RETRACTED: BCNet: A Novel Network for Blood Cell Classification

Zhu

Wang

et al. 2022

Front. Cell Dev. Biol.

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“…We found that deleting any of the iron-sulfur assembly proteins in bacteria has a positive effect on the stress tolerance and lifespan of worms, with the maximum effects seen with deletion of the iscU gene. Consistent with these results, suppressing the expression of iscu-1 , a worm ortholog of iscU , promotes stress tolerance and longevity in worms 41 . Taken together, these findings suggest that disturbing Fe-S cluster homeostasis in either bacteria or worms can influence stress responses and longevity.…”

Section: Discussionsupporting

confidence: 67%

A diet of oxidative stress-adapted bacteria improves stress resistance and lifespan inC. elegansvia p38-MAPK

Bhat,

Cox,

Hendrickson

et al. 2023

Preprint

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Organisms across taxa are exposed to stresses such as variable temperature, redox imbalance, and xenobiotics. Successfully responding to stress and restoring homeostasis is crucial for viability of the organism. During aging, the ability to effectively respond to stress declines, contributing to development of disease. In many multicellular animals, aging also coincides with changes in the microbiome that can contribute to disease-states. Because animals and their microbiota coexist in the same broad environment, they each must adapt to similar stresses. However, the short generation time of microbes leads to faster evolution, allowing the possibility that microbial stress adaptation may influence host physiology. Here we leverage a simplified model involving the nematodeC. elegansand its bacterial diet. Our work highlights how bacterial adaptation to oxidative stress impacts the host’s lifespan and response to stress. Intriguingly, our findings reveal that worms fed with bacteria adapted to withstand oxidative stress exhibit enhanced stress resistance and an extended lifespan. Through whole genome sequencing, genetic assays, and metabolic analysis, this study underscores the pivotal role of the bacterial iron-sulfur pathway in governing host stress resistance and lifespan. We further find that iron in the stress-evolved bacteria boost the worm’s stress resistance and lifespan through activation of the mitogen-activated protein kinase (MAPK) pathway. In conclusion, this study provides evidence that understanding the evolutionary path of microbial adaptation during stress could be leveraged to slow aging and mitigate age-related decline in health.

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“…Studies have shown that calorie restriction can improve life expectancy because it can reduce ROS production and cell iron [ 77 ]. Apart from this, it was found that ISCU-1, the C. elegans ortholog of the evolutionarily conserved iron–sulfur cluster (ISC) assembly machinery central protein ISCU, suppressed longevity and stress response [ 78 ]. Specifically, ISCU-1 can accelerate aging of the intestine.…”

Section: Iron Metabolism and Agingmentioning

confidence: 99%

Iron Metabolism in Aging and Age-Related Diseases

Tian

Yuan

et al. 2022

IJMS

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Iron is a trace metal element necessary to maintain life and is also involved in a variety of biological processes. Aging refers to the natural life process in which the physiological functions of the various systems, organs, and tissues decline, affected by genetic and environmental factors. Therefore, it is imperative to investigate the relationship between iron metabolism and aging-related diseases, including neurodegenerative diseases. During aging, the accumulation of nonheme iron destroys the stability of the intracellular environment. The destruction of iron homeostasis can induce cell damage by producing hydroxyl free radicals, leading to mitochondrial dysfunction, brain aging, and even organismal aging. In this review, we have briefly summarized the role of the metabolic process of iron in the body, then discussed recent developments of iron metabolism in aging and age-related neurodegenerative diseases, and finally, explored some iron chelators as treatment strategies for those disorders. Understanding the roles of iron metabolism in aging and neurodegenerative diseases will fill the knowledge gap in the field. This review could provide new insights into the research on iron metabolism and age-related neurodegenerative diseases.

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A novel role of the mitochondrial iron-sulfur cluster assembly protein ISCU-1/ISCU in longevity and stress response

Cited by 14 publications

References 60 publications

RETRACTED: BCNet: A Novel Network for Blood Cell Classification

RETRACTED: BCNet: A Novel Network for Blood Cell Classification

A diet of oxidative stress-adapted bacteria improves stress resistance and lifespan inC. elegansvia p38-MAPK

Iron Metabolism in Aging and Age-Related Diseases

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