Evidence map›Paper›PMID 27501510›Full record

ArticleDiabetes, obesity & metabolism2017

Pharmacokinetics and pharmacodynamics of single and multiple doses of the glucagon receptor antagonist LGD-6972 in healthy subjects and subjects with type 2 diabetes mellitus.

Eric G Vajda, Douglas Logan, Kenneth Lasseter, Danielle Armas, Diane J Plotkin, J D Pipkin, Yong-Xi Li, Rong Zhou, David Klein, Xiaoxiong Wei and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Diabetes, obesity & metabolism, 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
5.7field-weighted citation impact, top 3% 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, 49 citations in OpenAlex.

  1. Trial
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  3. Cyclodextrin-based therapeutics delivery systems: A review of current clinical trials.Current research in pharmacology and drug discovery · 2025
    Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Glucagon receptor signaling at white adipose tissue does not regulate lipolysis.American journal of physiology. Endocrinology and metabolism · 2022
    Article
  9. Review
  10. The incretin/glucagon system as a target for pharmacotherapy of obesity.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2022 · on this map
    Review
  11. Review
  12. Article
  13. Review
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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

13 authors at 6 institutions in 1 country.

Eric G VajdaLigand Pharmaceuticals Incorporated, San Diego, California, USA.
Douglas LoganCincinnati VA Medical Center Ringgold Standard Institution, Cincinnati, Ohio, USA.
Kenneth LasseterClinical Pharmacology of Miami, Inc., Miami, Florida, USA.
Danielle ArmasCelerion, Tempe, Arizona, USA.
Diane J PlotkinClinical Development Consultation Services, Poway, California, USA.
J D PipkinLigand Pharmaceuticals Incorporated, San Diego, California, USA.
Yong-Xi LiMedpace Inc., Cincinnati, Ohio, USA.
Rong ZhouMedpace Inc., Cincinnati, Ohio, USA.
David KleinMedpace Inc., Cincinnati, Ohio, USA.
Xiaoxiong WeiMedpace Inc., Cincinnati, Ohio, USA.
Stacy DilzerClinical Pharmacology of Miami, Inc., Miami, Florida, USA.
Lin ZhiLigand Pharmaceuticals Incorporated, San Diego, California, USA.
Keith B MarschkeLigand Pharmaceuticals Incorporated, San Diego, California, USA.
Ligand Pharmaceuticals (United States) · USMedpace (United States) · USClinical Pharmacology of Miami · USCelerion (United States) · USCincinnati VA Medical Center · USPathways Behavioral Services · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo evaluate the safety, tolerability, pharmacokinetics and pharmacodynamics of single and multiple doses of a novel, oral glucagon receptor antagonist, LGD-6972, in healthy subjects and subjects with type 2 diabetes (T2DM).

methodsIn the single ascending dose study, LGD-6972 (2-480 mg) was administered to healthy subjects (n = 48) and T2DM subjects (n = 8). In the multiple ascending dose study, healthy subjects (n = 12) received a dose of 15 mg LGD-6972 and T2DM subjects (n = 36) received doses of 5, 10 or 15 mg of LGD-6972 daily for 14 days.

resultsLGD-6972 had linear plasma pharmacokinetics consistent with once-daily dosing that was comparable in healthy and T2DM subjects. Dose-dependent decreases in fasting plasma glucose were observed in all groups with a maximum of 3.15 mmol/L (56.8 mg/dL) on day 14 in T2DM subjects. LGD-6972 also reduced plasma glucose in the postprandial state. Dose-dependent increases in fasting plasma glucagon were observed, but glucagon levels decreased and insulin levels increased after an oral glucose load in T2DM subjects. LGD-6972 was well tolerated at the doses tested without dose-related or clinically meaningful changes in clinical laboratory parameters. No subject experienced hypoglycaemia.

conclusionInhibition of glucagon action by LGD-6972 was associated with decreases in glucose in both healthy and T2DM subjects, the magnitude of which was sufficient to predict improvement in glycaemic control with longer treatment duration in T2DM patients. The safety and pharmacological profile of LGD-6972 after 14 days of dosing supports continued clinical development.

Indexed as

Administration, OralAdultAgedAlkanesulfonatesBenzamidesBlood GlucoseDiabetes Mellitus, Type 2FastingFemaleGlucagonGlucose Tolerance TestGlycated HemoglobinHealthy VolunteersHumansHypoglycemiaMaleAlkanesulfonatesBenzamidesBlood GlucoseGlucagonGlycated Hemoglobinhemoglobin A1c protein, humanReceptors, GlucagonRVT-1502antagonistdiabetesglucagon receptorpharmacodynamicspharmacokinetics

Identifiers

PMID27501510
PMCPMC5215471
OpenAlexW2514133655

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.