Evidence map›Paper›PMID 35323696›Full record

ArticleMetabolites2022

High Resolution Magic Angle Spinning Proton NMR Study of Alzheimer's Disease with Mouse Models.

Mark V Füzesi, Isabella H Muti, Yannick Berker, Wei Li, Joseph Sun, Piet Habbel, Johannes Nowak, Zhongcong Xie, Leo L Cheng, Yiying Zhang

Abstract read
In one paragraph

Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Mark V FüzesiDepartment of Pathology, Harvard Medical School, Massachusetts General Hospital, Boston, MA 02115, USA.
Isabella H MutiDepartment of Pathology, Harvard Medical School, Massachusetts General Hospital, Boston, MA 02115, USA.
Yannick BerkerHopp Children's Cancer Center Heidelberg (KiTZ), 69120 Heidelberg, Germany.ORCID 0000-0002-6707-0834
Wei LiDepartment of Anesthesia, Critical Care and Pain Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA 02115, USA.
Joseph SunDepartment of Pathology, Harvard Medical School, Massachusetts General Hospital, Boston, MA 02115, USA.
Piet HabbelDepartment of Medical Oncology, Haematology and Tumour Immunology, Charité-University Medicine Berlin, 10117 Berlin, Germany.
Johannes NowakRadiology Gotha, SRH Poliklinik Gera, 99867 Gotha, Germany.ORCID 0000-0002-3595-8951
Zhongcong XieDepartment of Anesthesia, Critical Care and Pain Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA 02115, USA.
Leo L ChengDepartments of Radiology and Pathology, Harvard Medical School, Massachusetts General Hospital, Boston, MA 02115, USA.
Yiying ZhangDepartment of Anesthesia, Critical Care and Pain Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA 02115, USA.

Funding

Metabolomic characterization of normal aging and Alzheimer's disease under anesthesia- surgery stimuliR01AG070257 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI JENKINS, BRUCE G, XIE, ZHONGCONG · 2021 to 2025
$3.9M
General Anesthesia and Alzheimer's Disease NeuropathogenesisRF1AG070761 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI XIE, ZHONGCONG · 2020 to 2020
$1.9M
Gut Microbiota Underlies the Heterogeneity of Aging Brain's Susceptibility to Postoperative DeliriumR01AG070141 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI SHEN, SHIQIAN, WANG, CHANGNING · 2024 to 2025
$1.3M
Microbiome Dysbiosis and Postoperative Delirium PathogenesisR21AG065606 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI SHEN, SHIQIAN, ZHANG, YIYING · 2020 to 2020
$459k
Identification of prostate cancer aggressiveness using hyperpolarized polyamine metabolic ratesR21CA243255 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CHENG, LEO L · 2019 to 2020
$436k
NCI NIH HHS R21 CA243255NeuroCognitive Institute CA243255NIA NIH HHS AG070257NIA NIH HHS R01 AG070141NIA NIH HHS R01 AG070257NIA NIH HHS R21 AG065606NIA NIH HHS RF1 AG070761
6 · The paper itself

Abstract

Alzheimer's disease (AD) is a crippling condition that affects millions of elderly adults each year, yet there remains a serious need for improved methods of diagnosis. Metabolomic analysis has been proposed as a potential methodology to better investigate and understand the progression of this disease; however, studies of human brain tissue metabolomics are challenging, due to sample limitations and ethical considerations. Comprehensive comparisons of imaging measurements in animal models to identify similarities and differences between aging- and AD-associated metabolic changes should thus be tested and validated for future human non-invasive studies. In this paper, we present the results of our highresolution magic angle spinning (HRMAS) nuclear magnetic resonance (NMR) studies of AD and wild-type (WT) mouse models, based on animal age, brain regions, including cortex vs. hippocampus, and disease status. Our findings suggest the ability of HRMAS NMR to differentiate between AD and WT mice using brain metabolomics, which potentially can be implemented in in vivo evaluations.

Indexed as

Alzheimer’s diseasemetabolomicsmouse modelnuclear magnetic resonance spectroscopy

Identifiers

PMID35323696
PMCPMC8952313

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.