Evidence map›Paper›PMID 28168678›Full record

ReviewCurrent hypertension reports2017

Lipidomics in the Study of Hypertension in Metabolic Syndrome.

Hemant Kulkarni, Manju Mamtani, John Blangero, Joanne E Curran

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current hypertension reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Lipidomic signatures in Colombian adults with metabolic syndrome.Journal of diabetes and metabolic disorders · 2024
    Article
  3. Article
  4. Gut microbiota: a potential new regulator of hypertension.Frontiers in cardiovascular medicine · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. 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

4 authors.

Hemant KulkarniSouth Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA. hemant_kulkarnius@yahoo.com.
Manju MamtaniSouth Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA.
John BlangeroSouth Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA.
Joanne E CurranSouth Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThe entire gamut of changes in the lipid profile that precede, predict, and correlate with hypertension in metabolic syndrome is unknown. RECENT

findingsThe power, resolution, and accuracy of lipidomic assay technologies have brought us to the threshold of another information explosion. Understanding of hypertension and its pathophysiology especially within the setting of metabolic syndrome has been greatly improved by recent lipidomic studies. Hypertension in metabolic syndrome differs from other forms of hypertension, and recent studies have highlighted this difference in many interesting ways. Mounting evidence points towards a derangement of the sphingolipid pathway that may trigger the precursor clinical conditions of hypertension as well as hypertension itself. In this review, we summarize the available published literature in this field and propose a unifying hypothesis based on the published evidence. Recent studies have created substantial interest and advances in the understanding of hypertension in metabolic syndrome. Studies that directly test these concepts within a lipidomic framework are urgently needed.

Indexed as

AnimalsComputational BiologyHumansHypertensionLipid MetabolismLipidsMetabolic SyndromeLipidsHypertensionLipidomicsMetabolic syndromeSphingolipids

Identifiers

What OpenQuestion holds

Textmetadata
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.