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    Review of 'Predicting progression to Alzheimer’s disease with human hippocampal progenitors exposed to serum'

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    Predicting progression to Alzheimer’s disease with human hippocampal progenitors exposed to serumCrossref
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    Predicting progression to Alzheimer’s disease with human hippocampal progenitors exposed to serum

    Abstract Adult hippocampal neurogenesis is important for learning and memory and is altered early in Alzheimer’s disease. As hippocampal neurogenesis is modulated by the circulatory systemic environment, evaluating a proxy of how hippocampal neurogenesis is affected by the systemic milieu could serve as an early biomarker for Alzheimer’s disease progression. Here, we used an in vitro assay to model the impact of systemic environment on hippocampal neurogenesis. A human hippocampal progenitor cell line was treated with longitudinal serum samples from individuals with mild cognitive impairment, who either progressed to Alzheimer’s disease or remained cognitively stable. Mild cognitive impairment to Alzheimer’s disease progression was characterized most prominently with decreased proliferation, increased cell death and increased neurogenesis. A subset of ‘baseline’ cellular readouts together with education level were able to predict Alzheimer’s disease progression. The assay could provide a powerful platform for early prognosis, monitoring disease progression and further mechanistic studies.
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      Review information

      10.14293/S2199-1006.1.SOR-LIFE.A10151193.v1.RXOCFB
      This work has been published open access under Creative Commons Attribution License CC BY 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com.

      Neurosciences
      alzheimer’s disease,neurogenesis,hippocampal progenitors,prognostic biomarker
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      The publication is relevant to the academic community and provides important information.

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      The hypothesis is clearly formulated.

      It is the strict argument. The data is robust, well controlled, and statistically significant.

      The interpretation is balanced and supported by the data. Appropriate and state-of-the-art methods are used.

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      The language is correct and easy to understand for an academic in the field.

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      The article is organized systematically and logically.

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