Evidence map›Paper›PMID 35276996›Full record

ArticleNutrients2022

Development of a Novel Nutrition-Related Multivariate Biomarker for Mild Cognitive Impairment Based on the Plasma Free Amino Acid Profile.

Takeshi Ikeuchi, Yuki Yano, Wataru Sato, Fumiyoshi Morikawa, Shuta Toru, Chika Nishimura, Nobuhiko Miyazawa, Yasuko Kuroha, Ryoko Koike, Shin Tanaka and 13 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 30% of its field
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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  5. Article
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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

23 authors at 13 institutions in 1 country.

Takeshi IkeuchiDepartment of Molecular Genetics, Brain Research Institute, Niigata University, Niigata 951-8585, Japan.ORCID 0000-0001-8828-8085
Yuki YanoResearch Institute for Bioscience Products & Fine Chemicals, Ajinomoto Co., Inc., Kawasaki City 210-8681, Japan.
Wataru SatoResearch Institute for Bioscience Products & Fine Chemicals, Ajinomoto Co., Inc., Kawasaki City 210-8681, Japan.
Fumiyoshi MorikawaDepartment of Psychiatry, Asahikawa Keisenkai Hospital, Asahikawa 078-8208, Japan.
Shuta ToruDepartment of Neurology, Nitobe Memorial Nakano General Hospital, Tokyo 164-0011, Japan.
Chika NishimuraKurumi Clinic, Tokyo 156-0041, Japan.
Nobuhiko MiyazawaDepartment of Neurosurgery, Kofu Neurosurgical Hospital, Yamanashi 400-0805, Japan.
Yasuko KurohaDepartment of Neurology, Nishiniigata Chuo Hospital, Niigata 950-2085, Japan.
Ryoko KoikeDepartment of Neurology, Nishiniigata Chuo Hospital, Niigata 950-2085, Japan.
Shin TanakaMishima Hospital, Niigata 940-2302, Japan.
Kumiko UtsumiDepartment of Psychiatry, Sunagawa City Medical Center, Sunagawa 073-0196, Japan.ORCID 0000-0003-2781-3303
Kensaku KasugaDepartment of Molecular Genetics, Brain Research Institute, Niigata University, Niigata 951-8585, Japan.ORCID 0000-0002-2178-0769
Takayoshi TokutakeDepartment of Molecular Genetics, Brain Research Institute, Niigata University, Niigata 951-8585, Japan.
Kenjiro OnoDivision of Neurology, Department of Medicine, Showa University School of Medicine, Tokyo 142-8666, Japan.
Satoshi YanoDivision of Neurology, Department of Medicine, Showa University School of Medicine, Tokyo 142-8666, Japan.
Satoshi NaruseDepartment of Neurology, Midori Hospital, Niigata 950-0983, Japan.
Ryuji YajimaDepartment of Neurology, Midori Hospital, Niigata 950-0983, Japan.
Tadanori HamanoSecond Department of Internal Medicine, Faculty of Medical Sciences, University of Fukui, Fukui 910-1193, Japan.ORCID 0000-0002-3492-9585
Yuri YokoyamaResearch Team for Social Participation and Community Health, Tokyo Metropolitan Institute of Gerontology, Tokyo 173-0015, Japan.
Akihiko KitamuraResearch Team for Social Participation and Community Health, Tokyo Metropolitan Institute of Gerontology, Tokyo 173-0015, Japan.
Eiji KanekoInstitute of Education, Tokyo Medical and Dental University, Tokyo 113-8519, Japan.
Minoru YamakadoDepartment of Nursing, Ashikaga University, Ashikaga 326-0808, Japan.
Kenji NagaoResearch Institute for Bioscience Products & Fine Chemicals, Ajinomoto Co., Inc., Kawasaki City 210-8681, Japan.ORCID 0000-0002-0946-1431
Ajinomoto (Japan) · JPNiigata University · JPNishi Niigata Chuo National Hospital · JPShowa University · JPTokyo Metropolitan Institute of Gerontology · JPAsahikawa City Hospital · JPAshikaga University · JPKurume University · JPNitobe Memorial Nakano General Hospital · JPSunagawa City Medical Center · JPTokyo Medical and Dental University · JPUniversity of Fukui · JPYamanashi Research Institute · JP

Funding

Ministry of Education, Culture, Sports, Science and Technology KAKEN-HI #15K15335
6 · The paper itself

Abstract

Nutritional epidemiology has shown the importance of protein intake for maintaining brain function in the elderly population. Mild cognitive impairment (MCI) may be associated with malnutrition, especially protein intake. We explored blood-based biomarkers linking protein nutritional status with MCI in a multicenter study. In total, 219 individuals with MCI (79.5 ± 5.7 year) from 10 institutions and 220 individuals who were cognitively normal (CN, 76.3 ± 6.6 year) in four different cities in Japan were recruited. They were divided into the training (120 MCI and 120 CN) and validation (99 MCI and 100 CN) groups. A model involving concentrations of PFAAs and albumin to discriminate MCI from CN individuals was constructed by multivariate logistic regression analysis in the training dataset, and the performance was evaluated in the validation dataset. The concentrations of some essential amino acids and albumin were significantly lower in MCI group than CN group. An index incorporating albumin and PFAA discriminated MCI from CN participants with the AUC of 0.705 (95% CI: 0.632-0.778), and the sensitivities at specificities of 90% and 60% were 25.3% and 76.8%, respectively. No significant association with BMI or

Indexed as

Cognitive DysfunctionNutritional StatusAgedAmino AcidsBiomarkersCross-Sectional StudiesHumansAmino AcidsBiomarkersAPOEbiomarker discoveryMMSEmulticenter clinical studyprotein malnutrition

Identifiers

PMID35276996
PMCPMC8840028
OpenAlexW4210630229

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.