Evidence map›Paper›PMID 27611087›Full record

ArticlePloS one2016

Novel Metabolic Abnormalities in the Tricarboxylic Acid Cycle in Peripheral Cells From Huntington's Disease Patients.

Nima N Naseri, Joseph Bonica, Hui Xu, Larry C Park, Jamshid Arjomand, Zhengming Chen, Gary E Gibson

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

18 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. A Rationale for Hypoxic and Chemical Conditioning in Huntington's Disease.International journal of molecular sciences · 2021
    Review
  9. Mitochondrial complex II and reactive oxygen species in disease and therapy.Redox report : communications in free radical research · 2020
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
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

7 authors at 3 institutions in 1 country.

Nima N NaseriWeill Cornell Medical College, Brain and Mind Research Institute, Burke Medical Research Institute, 785 Mamaroneck Avenue, White Plains, NY 10605, United States of America.
Joseph BonicaWeill Cornell Medical College, Brain and Mind Research Institute, Burke Medical Research Institute, 785 Mamaroneck Avenue, White Plains, NY 10605, United States of America.
Hui XuWeill Cornell Medical College, Brain and Mind Research Institute, Burke Medical Research Institute, 785 Mamaroneck Avenue, White Plains, NY 10605, United States of America.
Larry C ParkCHDI Management/CHDI Foundation, Inc., 6080 Center Drive. Suite 100, Los Angeles, CA 90045, United States of America.
Jamshid ArjomandCHDI Management/CHDI Foundation, Inc., 6080 Center Drive. Suite 100, Los Angeles, CA 90045, United States of America.
Zhengming ChenWeill Cornell Medical College, Division of Biostatistics and Epidemiology, Department of Healthcare Policy and Research, 425 East 61st Street, New York, NY 10065, United States of America.
Gary E GibsonWeill Cornell Medical College, Brain and Mind Research Institute, Burke Medical Research Institute, 785 Mamaroneck Avenue, White Plains, NY 10605, United States of America.
Cornell University · USCHDI Foundation · USBurke Medical Research Institute · US

Funding

TRANSCRIPTIONAL RESPONSES TO MITOCHONDRIAL DYSFUNCTIONP01AG014930 · NIA · WINIFRED MASTERSON BURKE MED RES INST · PI GIBSON, GARY E · 1999 to 2020
$30.7M
NIA NIH HHS P01 AG014930
6 · The paper itself

Abstract

Metabolic dysfunction is well-documented in Huntington's disease (HD). However, the link between the mutant huntingtin (mHTT) gene and the pathology is unknown. The tricarboxylic acid (TCA) cycle is the main metabolic pathway for the production of NADH for conversion to ATP via the electron transport chain (ETC). The objective of this study was to test for differences in enzyme activities, mRNAs and protein levels related to the TCA cycle between lymphoblasts from healthy subjects and from patients with HD. The experiments utilize the advantages of lymphoblasts to reveal new insights about HD. The large quantity of homogeneous cell populations permits multiple dynamic measures to be made on exactly comparable tissues. The activities of nine enzymes related to the TCA cycle and the expression of twenty-nine mRNAs encoding for these enzymes and enzyme complexes were measured. Cells were studied under baseline conditions and during metabolic stress. The results support our recent findings that the activities of the pyruvate dehydrogenase complex (PDHC) and succinate dehydrogenase (SDH) are elevated in HD. The data also show a large unexpected depression in MDH activities. Furthermore, message levels for isocitrate dehydrogenase 1 (IDH1) were markedly increased in in HD lymphoblasts and were responsive to treatments. The use of lymphoblasts allowed us to clarify that the reported decrease in aconitase activity in HD autopsy brains is likely due to secondary hypoxic effects. These results demonstrate the mRNA and enzymes of the TCA cycle are critical therapeutic targets that have been understudied in HD.

Indexed as

Citric Acid CycleEnergy MetabolismAdultCase-Control StudiesCell DeathCell LineFemaleGene ExpressionGene Expression Regulation, EnzymologicHumansHuntington DiseaseMaleMiddle AgedMitochondriaOxidative StressPyruvate Dehydrogenase ComplexPyruvate Dehydrogenase ComplexRNA, MessengerSodium Cyanide

Identifiers

PMID27611087
PMCPMC5017661
OpenAlexW2518510403

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.