Transplantation of feces from mice with Alzheimer's disease promoted lung cancer growth

Bi, Wangyu; Cai, Shanglin; Hang, Zhongci; Tong, Lei; Wang, Donghui; Wang, Li; Du, Hongwu

doi:10.1016/j.bbrc.2022.01.078

Cited by 6 publications

(6 citation statements)

References 42 publications

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“…Several previous studies [ 20 – 22 ] shown in Table 1 vouch for a positive association between Alzheimer's disease and lung cancer, which is in harmony with our finding. In this study, the AE networks were constructed to generate respective one-dimensional representations of gene expression profiles for Alzheimer's disease and lung cancer.…”

Section: Discussionsupporting

confidence: 93%

“…While the opposing pathological processes (for example, uncontrolled cell proliferation in cancer versus neuronal cell death in Alzheimer's disease) [16] provide a partial explanation for this inverse relationship, one may argue that the competing risk of death in patients with cancer may drive the estimation of the association coefcient towards a negative direction [17]. Conversely, a few observational studies suggested no association [18], or a very weak negative association [19], or a positive association between these two diseases [20][21][22].…”

Section: Introductionmentioning

confidence: 99%

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Autoencoder Networks Decipher the Association between Lung Cancer and Alzheimer’s Disease

Gao

Tang

et al. 2022

Computational Intelligence and Neuroscience

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Lung cancer is the most common malignancy and is responsible for the largest cancer-related mortality worldwide. Alzheimer’s disease is a degenerative neurological disease that burdens healthcare worldwide. While the two diseases are distinct, several transcriptomic studies have demonstrated they are linked. However, no concordant conclusion on how they are associated has been drawn. Since these studies utilized conventional bioinformatics methods, such as the differentially expressed gene (DEG) analysis, it is naturally expected that the proportion of DEGs having either the same or inverse directions in lung cancer and Alzheimer’s disease is substantial. This raises the inconsistency. Therefore, a novel bioinformatics method capable of determining the direction of association is desirable. In this study, the moderated t-tests were first used to identify DEGs that are shared by the two diseases. For the shared DEGs, separate autoencoder (AE) networks were trained to extract a one-dimensional representation (pseudogene) for each disease. Based on these pseudogenes, the association direction between lung cancer and Alzheimer’s disease was inferred. AE networks based on 266 shared DEGs revealed a comorbidity relationship between Alzheimer’s disease and lung cancer. Specifically, Spearman’s correlation coefficient between the predicted values using the two AE networks for the Alzheimer’s disease test set was 0.825 and for the lung cancer test set was 0.316. Novel bioinformatics methods such as an AE network may help decipher how distinct diseases are associated by providing the refined representations of dysregulated genes.

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Section: Discussionsupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Autoencoder Networks Decipher the Association between Lung Cancer and Alzheimer’s Disease

Gao

Tang

et al. 2022

Computational Intelligence and Neuroscience

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“…These ndings strongly indicate that AD substantially enhances the development of CRLM. Bi et al had demonstrated that AD could promote the growth of lung cancer; by establishing a subcutaneous transplantation tumor model, they transplanted fecal microbiota from AD mice into the gut of lung cancer mice; compared with mice transplanted with fecal microbiota from normal mice, animals transplanted with fecal microbiota from APP/PS1 mice had signi cantly larger subcutaneous tumors [24].…”

Section: Discussionmentioning

confidence: 99%

The risk factors for colorectal cancer liver metastasis in a mouse model of Alzheimer's disease

Nie,

Qiao,

Wang

et al. 2024

Preprint

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Background and Objective: To investigate the occurrence of colorectal cancer (CRC) liver metastasis (CRLM) and the risk factors in mice with Alzheimer's disease (AD). methods: Mice in the AD group (APP/PS1 models of AD) and the control (CON) group (wild-type C57BL/6J mice) were injected with MC38 cells to establish CRLM models. After the experiment, the tumor nodules on liver surface were counted, and the liver weight, volume were measured. 16S rDNA sequencing, enzyme-linked immunosorbent assay, Pearson’s analysis and immunohistochemical technique were showed to investigate the impact of AD on CRLM and its possible mechanism. Results: Compared to the CON group, the AD group exhibited a increase in the number of tumor nodules on the liver surface, with consistent findings in both liver weight and volume measurements correlating with the metastatic count. Analysis of 16S rDNA sequencing revealed distinct alterations in the intestinal microbiota of the AD group. Furthermore, relative to the CON group, the AD group exhibited notably elevated levels of NGF expression in both the colon and liver. Additionally, discernibly elevated concentrations of VEGF and CXCL12 were observed in both serum and liver tissues of the AD group compared to the CON group. The results of Pearson correlation analysis indicated positive correlations between intestinal NGF levels and both hepatic CXCL12 and VEGF levels. The AD group had smaller number of hepatic KCs than that in the CON group. Conclusions: AD accelerates CRLM. The mechanism may be caused by gut flora affecting hepatic KCs, thus linking the brain-gut-liver axis.

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“…When compared to mice receiving FMT from young WT donors, recipients of FMT from aged AD donors showed increased TBI lesion size, greater impairments to motor skills, and an increase in the number of activated microglia and neuroinflammation [ 44 ]. In another demonstration of the negative effects of the AD gut microbiome, Bi et al [ 45 ] injected mice with Lewis lung cancer cells, followed one week later by FMT from either APP/PS1 AD mice or WT littermates. The tumor sizes in recipients of FMT from AD donors were on average 40% larger compared to mice not receiving FMT.…”

Section: Alzheimer’s Diseasementioning

confidence: 99%

“…The tumor sizes in recipients of FMT from AD donors were on average 40% larger compared to mice not receiving FMT. Interestingly, recipients of FMT from WT donors showed an ~46% decrease in tumor size [ 45 ]. While these investigations did not involve the study of AD symptoms themselves, they do indicate that the AD gut microbiome may worsen outcomes of other diseases.…”

Section: Alzheimer’s Diseasementioning

confidence: 99%

The Role of Fecal Microbiota Transplantation in the Treatment of Neurodegenerative Diseases: A Review

Matheson

Holsinger

2023

IJMS

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Neurodegenerative diseases are highly prevalent but poorly understood, and with few treatment options despite decades of intense research, attention has recently shifted toward other mediators of neurological disease that may present future targets for therapeutic research. One such mediator is the gut microbiome, which communicates with the brain through the gut–brain axis and has been implicated in various neurological disorders. Alterations in the gut microbiome have been associated with numerous neurological and other diseases, and restoration of the dysbiotic gut has been shown to improve disease conditions. One method of restoring a dysbiotic gut is via fecal microbiota transplantation (FMT), recolonizing the “diseased” gut with normal microbiome. Fecal microbiota transplantation is a treatment method traditionally used for Clostridium difficile infections, but it has recently been used in neurodegenerative disease research as a potential treatment method. This review aims to present a summary of neurodegenerative research that has used FMT, whether as a treatment or to investigate how the microbiome influences pathogenesis.

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Transplantation of feces from mice with Alzheimer's disease promoted lung cancer growth

Cited by 6 publications

References 42 publications

Autoencoder Networks Decipher the Association between Lung Cancer and Alzheimer’s Disease

Autoencoder Networks Decipher the Association between Lung Cancer and Alzheimer’s Disease

The risk factors for colorectal cancer liver metastasis in a mouse model of Alzheimer's disease

The Role of Fecal Microbiota Transplantation in the Treatment of Neurodegenerative Diseases: A Review

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