Evidence map›Paper›PMID 30446744›Full record

ReviewNature reviews. Endocrinology2019

Emerging hormonal-based combination pharmacotherapies for the treatment of metabolic diseases.

Christoffer Clemmensen, Brian Finan, Timo D Müller, Richard D DiMarchi, Matthias H Tschöp, Susanna M Hofmann

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Endocrinology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
9.3field-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

51 citing papers in PubMed, 1 synthesis or guideline pooled it, 120 citations in OpenAlex.

  1. Pooled it
  2. Peptide Marriages: Modular Assembly of Multi-Agonist Therapeutics.Chemistry (Weinheim an der Bergstrasse, Germany) · 2026
    Article
  3. The evolving landscape of obesity pharmacotherapy.Nature reviews. Drug discovery · 2026
    Review
  4. Postprandial Glucagon Action in the Human Brain.Diabetes, obesity & metabolism · 2026
    Article
  5. Article
  6. Hypothalamic wars: the last nanodelivery.Reviews in endocrine & metabolic disorders · 2026
    Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Why are we still in need for novel anti-obesity medications?The Lancet regional health. Europe · 2024
    Review
  18. Article
  19. Review
  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

6 authors at 4 institutions in 3 countries.

Christoffer Clemmensen *Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. chc@sund.ku.dk.ORCID http://orcid.org/0000-0003-2456-9667
Brian Finan *Novo Nordisk Research Center Indianapolis, Indianapolis, IN, USA.
Timo D MüllerInstitute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany.
Richard D DiMarchiDepartment of Chemistry, Indiana University, Bloomington, IN, USA. rdimarch@indiana.edu.
Matthias H TschöpInstitute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany.
Susanna M HofmannInstitute for Diabetes and Regeneration, Helmholtz Diabetes Center, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany. susanna.hofmann@helmholtz-muenchen.de.
Helmholtz Zentrum München · DEIndiana University Bloomington · USNovo Nordisk (United States) · USUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity and its comorbidities, such as type 2 diabetes mellitus and cardiovascular disease, constitute growing challenges for public health and economies globally. The available treatment options for these metabolic disorders cannot reverse the disease in most individuals and have not substantially reduced disease prevalence, which underscores the unmet need for more efficacious interventions. Neurobiological resilience to energy homeostatic perturbations, combined with the heterogeneous pathophysiology of human metabolic disorders, has limited the sustainability and efficacy of current pharmacological options. Emerging insights into the molecular origins of eating behaviour, energy expenditure, dyslipidaemia and insulin resistance suggest that coordinated targeting of multiple signalling pathways is probably necessary for sizeable improvements to reverse the progression of these diseases. Accordingly, a broad set of combinatorial approaches targeting feeding circuits, energy expenditure and glucose metabolism in concert are currently being explored and developed. Notably, several classes of peptide-based multi-agonists and peptide-small molecule conjugates with superior preclinical efficacy have emerged and are currently undergoing clinical evaluation. Here, we summarize advances over the past decade in combination pharmacotherapy for the management of obesity and type 2 diabetes mellitus, exclusively focusing on large-molecule formats (notably enteroendocrine peptides and proteins) and discuss the associated therapeutic opportunities and challenges.

Indexed as

AnimalsBody Mass IndexDiabetes Mellitus, Type 2Drug Administration ScheduleDrug Therapy, CombinationFemaleGastrinsGastrointestinal HormonesGlucagon-Like Peptide 1HumansMaleMetabolic DiseasesMetforminMiceMolecular Targeted TherapyObesityGastrinsGastrointestinal HormonesGlucagon-Like Peptide 1MetforminSodium-Glucose Transporter 2 Inhibitors

Identifiers

PMID30446744
OpenAlexW2900829579

What OpenQuestion holds

Texttitle and abstract
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.