Evidence map›Paper›PMID 27789099›Full record

ReviewTrends in endocrinology and metabolism: TEM2017

1-Carbon Cycle Metabolites Methylate Their Way to Fatty Liver.

Amy Karol Walker

Open access · greenAbstract readReview
In one paragraph

Review in Trends in endocrinology and metabolism: TEM, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

25 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Methionine metabolism, functions, and application in swine.Animal nutrition (Zhongguo xu mu shou yi xue hui) · 2025
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Targeting one-carbon metabolism for cancer immunotherapy.Clinical and translational medicine · 2024
    Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

1 author at 1 institution in 1 country.

Amy Karol WalkerUMASS Medical School, Worcester, MA, USA. Electronic address: amy.walker@umassmed.edu.
University of Massachusetts Chan Medical School · US

Funding

Mechanisms in Metabolic Control in C. elegans.R01DK084352 · NIDDK · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI WALKER, AMY KAROL · 2011 to 2015
$1.9M
NIDDK NIH HHS R01 DK084352
6 · The paper itself

Abstract

Fatty liver is a complex disease often accompanying metabolic syndrome and Type 2 diabetes mellitus (T2DM). Hepatosteatosis may have roots in multiple metabolic abnormalities. However, metabolic dysfunction in the 1-carbon cycle (1CC), which produces the methyl donor S-adenosylmethionine (SAM) and phosphatidylcholine (PC), induces hepatic lipogenesis in model systems. Human diseases where 1CC or PC synthesis is disrupted, such as alcoholism, congenital lipodystrophy, or cystic fibrosis, often present with fatty liver. Given that the 1CC is clearly linked to this disease, it is critical to understand how the individual metabolites drive mechanisms increasing stored hepatic lipids. In this review, I summarize evidence that ties the 1CC to fatty liver disease along with data proposing mechanisms for increased lipogenesis or decreased lipid export by phosphatidylcholine.

Indexed as

AnimalsCarbon CycleDiabetes Mellitus, Type 2Fatty LiverHumansLipogenesisPhosphatidylcholinesS-AdenosylmethioninePhosphatidylcholinesS-Adenosylmethionine1-carbon cyclefatty livermethylationphosphatidylcholine

Identifiers

PMID27789099
PMCPMC5183509
OpenAlexW2536412663

What OpenQuestion holds

Textmetadata
LicenceTDM
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.