Evidence map›Paper›PMID 28034759›Full record

ReviewTranslational research : the journal of laboratory and clinical medicine2017

Targeting P-selectin glycoprotein ligand-1/P-selectin interactions as a novel therapy for metabolic syndrome.

Madhukar S Patel, David Miranda-Nieves, Jiaxuan Chen, Carolyn A Haller, Elliot L Chaikof

Abstract readReview
In one paragraph

Review in Translational research : the journal of laboratory and clinical medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

23 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
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  8. Review
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  10. Effector Memory-Expressing CD45RA (TEMRA) CD8Journal of the American Society of Nephrology : JASN · 2022
    Article
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  17. Influence of Cardiometabolic Risk Factors on Platelet Function.International journal of molecular sciences · 2020
    Review
  18. Review
  19. Postprandial activation of leukocyte-endothelium interaction by fatty acids in the visceral adipose tissue microcirculation.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2019
    Article
  20. 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

5 authors at 3 institutions in 2 countries.

Madhukar S PatelDepartment of Surgery, Massachusetts General Hospital, Boston, Mass; Department of Surgery, Beth Israel Deaconess Medical Center, Boston, Mass; Harvard Medical School, Boston, Mass.
David Miranda-NievesDepartment of Surgery, Beth Israel Deaconess Medical Center, Boston, Mass; Harvard Medical School, Boston, Mass; Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, Mass.
Jiaxuan ChenDepartment of Surgery, Beth Israel Deaconess Medical Center, Boston, Mass; Harvard Medical School, Boston, Mass.
Carolyn A HallerDepartment of Surgery, Beth Israel Deaconess Medical Center, Boston, Mass; Harvard Medical School, Boston, Mass.
Elliot L ChaikofDepartment of Surgery, Beth Israel Deaconess Medical Center, Boston, Mass; Harvard Medical School, Boston, Mass. Electronic address: echaikof@bidmc.harvard.edu.
Hadassah Medical Center · ILHarvard University · USMassachusetts General Hospital · US

Funding

Facile Synthesis of Glycosulfopeptides and Related BioconjugatesU01GM116196 · NIGMS · BETH ISRAEL DEACONESS MEDICAL CENTER · PI CHAIKOF, ELLIOT, CUMMINGS, RICHARD D · 2015 to 2018
$2.6M
A PSGL-1 Glycopeptide Mimetic for Treatment of Metabolic SyndromeR01DK107405 · NIDDK · BETH ISRAEL DEACONESS MEDICAL CENTER · PI CHAIKOF, ELLIOT, KAHN, BARBARA B. · 2016 to 2019
$2.5M
A PSGL-1 Glycopeptide Mimetic for Treatment of Venous ThromboembolismR01HL128237 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI CHAIKOF, ELLIOT · 2015 to 2018
$1.7M
NHLBI NIH HHS R01 HL128237NIDDK NIH HHS R01 DK107405NIGMS NIH HHS U01 GM116196
6 · The paper itself

Abstract

Obesity-induced insulin resistance and metabolic syndrome continue to pose an important public health challenge worldwide as they significantly increase the risk of type 2 diabetes and atherosclerotic cardiovascular disease. Advances in the pathophysiologic understanding of this process has identified that chronic inflammation plays a pivotal role. In this regard, given that both animal models and human studies have demonstrated that the interaction of P-selectin glycoprotein ligand-1 (PSGL-1) with P-selectin is not only critical for normal immune response but also is upregulated in the setting of metabolic syndrome, PSGL-1/P-selectin interactions provide a novel target for preventing and treating resultant disease. Current approaches of interfering with PSGL-1/P-selectin interactions include targeted antibodies, recombinant immunoglobulins that competitively bind P-selectin, and synthetic molecular therapies. Experimental models as well as clinical trials assessing the role of these modalities in a variety of diseases have continued to contribute to the understanding of PSGL-1/P-selectin interactions and have demonstrated the difficulty in creating clinically relevant therapeutics. Most recently, however, computational simulations have further enhanced our understanding of the structural features of PSGL-1 and related glycomimetics, which are responsible for high-affinity selectin interactions. Leveraging these insights for the design of next generation agents has thus led to development of a promising synthetic method for generating PSGL-1 glycosulfopeptide mimetics for the treatment of metabolic syndrome.

Indexed as

Drug DesignHumansMembrane GlycoproteinsMetabolic SyndromeP-SelectinMembrane GlycoproteinsP-SelectinP-selectin ligand protein

Identifiers

PMID28034759
PMCPMC5393932
OpenAlexW2560788931

What Socratic 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 Socratic graph.