Evidence map›Paper›PMID 26816492›Full record

SynthesisInternational journal of medical sciences2016

Systematic Review of Metabolic Syndrome Biomarkers: A Panel for Early Detection, Management, and Risk Stratification in the West Virginian Population.

Krithika Srikanthan, Andrew Feyh, Haresh Visweshwar, Joseph I Shapiro, Komal Sodhi

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in International journal of medical sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 204 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
204citing papers in PubMed, 3 pooled it
22.7field-weighted citation impact, top 1% 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

204 citing papers in PubMed, 3 syntheses or guidelines pooled it, 430 citations in OpenAlex.

  1. Pooled it
  2. Can biomarkers be used to improve diagnosis and prediction of metabolic syndrome in childhood cancer survivors? A systematic review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2021
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144 more citing papers are in PubMed but not listed here.

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

5 authors at 1 institution in 1 country.

Krithika Srikanthan1. Department of Internal Medicine, Joan C. Edwards School of Medicine, Marshall University, USA.
Andrew Feyh1. Department of Internal Medicine, Joan C. Edwards School of Medicine, Marshall University, USA.
Haresh Visweshwar1. Department of Internal Medicine, Joan C. Edwards School of Medicine, Marshall University, USA.
Joseph I Shapiro1. Department of Internal Medicine, Joan C. Edwards School of Medicine, Marshall University, USA.
Komal Sodhi2. Department of Surgery and Pharmacology, Joan C. Edwards School of Medicine, Marshall University, USA.
Marshall University · US

Funding

CORAL: Clinical Coordinating CenterU01HL071556 · NHLBI · UNIVERSITY OF TOLEDO HEALTH SCI CAMPUS · PI COOPER, CHRISTOPHER J · 2004 to 2013
$19.3M
Receptor Na/K-ATPase Antagonists As Novel Therapeutics For Renal/Cardiac DiseasesR01HL109015 · NHLBI · UNIVERSITY OF TOLEDO HEALTH SCI CAMPUS · PI SHAPIRO, JOSEPH ISAAC, XIE, ZIJIAN · 2011 to 2014
$2.2M
Na/K-ATPase Reduction in Renal Disease-Related Cardiac DysfunctionR01HL105649 · NHLBI · UNIVERSITY OF TOLEDO HEALTH SCI CAMPUS · PI TIAN, JIANG · 2012 to 2016
$1.8M
NHLBI NIH HHS HL071556NHLBI NIH HHS HL105649NHLBI NIH HHS HL109015NHLBI NIH HHS R01 HL105649NHLBI NIH HHS R01 HL109015NHLBI NIH HHS U01 HL071556
6 · The paper itself

Abstract

introductionMetabolic syndrome represents a cluster of related metabolic abnormalities, including central obesity, hypertension, dyslipidemia, hyperglycemia, and insulin resistance, with central obesity and insulin resistance in particular recognized as causative factors. These metabolic derangements present significant risk factors for cardiovascular disease, which is commonly recognized as the primary clinical outcome, although other outcomes are possible. Metabolic syndrome is a progressive condition that encompasses a wide array of disorders with specific metabolic abnormalities presenting at different times. These abnormalities can be detected and monitored via serum biomarkers. This review will compile a list of promising biomarkers that are associated with metabolic syndrome and this panel can aid in early detection and management of metabolic syndrome in high risk populations, such as in West Virginia.

methodsA literature review was conducted using PubMed, Science Direct, and Google Scholar to search for markers related to metabolic syndrome. Biomarkers searched included adipokines (leptin, adiponectin), neuropeptides (ghrelin), pro-inflammatory cytokines (IL-6, TNF-α), anti-inflammatory cytokines (IL-10), markers of antioxidant status (OxLDL, PON-1, uric acid), and prothrombic factors (PAI-1).

resultsAccording to the literature, the concentrations of pro-inflammatory cytokines (IL-6, TNF-α), markers of pro-oxidant status (OxLDL, uric acid), and prothrombic factors (PAI-1) were elevated in metabolic syndrome. Additionally, leptin concentrations were found to be elevated in metabolic syndrome as well, likely due to leptin resistance. In contrast, concentrations of anti-inflammatory cytokines (IL-10), ghrelin, adiponectin, and antioxidant factors (PON-1) were decreased in metabolic syndrome, and these decreases also correlated with specific disorders within the cluster.

conclusionBased on the evidence presented within the literature, the aforementioned biomarkers correlate significantly with metabolic syndrome and could provide a minimally-invasive means for early detection and specific treatment of these disorders. Further research is encouraged to determine the efficacy of applying these biomarkers to diagnosis and treatment in a clinical setting.

Indexed as

AdipokinesAdiponectinBiomarkersHumansInflammationInterleukin-10LeptinMetabolic SyndromePlasminogen Activator Inhibitor 1Reactive Oxygen SpeciesTumor Necrosis Factor-alphaWest VirginiaAdipokinesAdiponectinADIPOQ protein, humanBiomarkersIL10 protein, humanInterleukin-10LeptinPlasminogen Activator Inhibitor 1Reactive Oxygen SpeciesSERPINE1 protein, humanTumor Necrosis Factor-alphaliterature reviewMetabolic syndrome

Identifiers

PMID26816492
PMCPMC4716817
OpenAlexW2337535033

What Socratic 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 Socratic graph.