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Record W4206454964 · doi:10.1002/alz.049907

Repeated intravenous infusion of autologous adipose‐derived stem cells improves cognitive function

2021· article· en· W4206454964 on OpenAlexaboutno aff
Kazuo Shigematsu, Kazunari Ishii, Kenichi Tahara, Naoyuki Komori, Hisakazu Yamagishi

Bibliographic record

VenueAlzheimer s & Dementia · 2021
Typearticle
Languageen
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineStem cellAdipose tissueInstitutional review boardDiseaseStem-cell therapyMontreal Cognitive AssessmentAmyotrophic lateral sclerosisRegenerative medicineAtrophyInternal medicinePathologySurgeryCognitive impairmentMesenchymal stem cell

Abstract

fetched live from OpenAlex

Abstract Background Stem cell therapy has emerged as a promising treatment for neurodegenerative diseases caused by the accumulation of abnormal proteins. We have administered repeated infusions of autologous adipose‐derived stem cells (ADSCs) to 39 patients with amyotrophic lateral sclerosis (ALS), chronic obstructive pulmonary disease (COPD), Parkinson's disease (PD), multisystem atrophy (MSA) (including spinocerebellar degeneration (SCD)), and Alzheimer's disease. A total of 182 infusions have been administered, and not a single side effect has been observed. In this study, we evaluated cognitive function in 9 patients with cognitive impairment after administration. Method This treatment was conducted after registration with the Japanese Ministry of Health, Labour and Welfare, with the consent of the patient, approval of the Ethics Committee, and approval of the Specific Review Board for Regenerative Medicine. Stem cells were harvested from the patient's own abdominal subcutaneous adipose tissue and cultured in serum‐free medium. 5.0x10^7 to 1.2x10^8 stem cells were administered intravenously 5 or 6 times at approximately a‐month intervals. The evaluation was performed by neurologist's examinations, caregiver's interview and Montreal cognitive assessment (MoCA). Amyloid PET scans were performed before and after the treatment in three patients with Alzheimer's disease. Result MoCA scores averaged 10.3 points before administration and 19.6 points after 5 infusions of ADSC, and there were no cases of deterioration among the 9 patients evaluated. Not only did the overall score improve, but the clock drawing visibly improved. Improvement was also observed in medical examinations and caregiver interviews. Amyloid PET scan in one case showed a decrease in brain amyloid deposition. Three patients had associated parkinsonism but showed significant improvement when assessed by Unified Prkinson's Disease Rating Scale (UPDRS). We confirmed that the administered stem cells were CD10 (neprilysin, an amyloid‐degrading enzyme) positive. Conclusion Improvement in cognitive function was observed after 5 doses of ADSCs infusion. No side effects were observed, confirming that this treatment is repeatable and safe. The mechanism may be amyloid removal by neprilysin, but since parkinsonism is also improved, multiple factors are considered, including neuronal regeneration and repair, improvement of blood flow, anti‐inflammatory effects, and removal of multiple abnormal proteins and deposits, such as alpha‐synuclein in Parkinson's disease.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.272
Teacher spread0.242 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2021
Admission routes1
Has abstractyes

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