ReviewEuropean journal of clinical nutrition2017
Nutrient regulation of β-cell function: what do islet cell/animal studies tell us?
Review in European journal of clinical nutrition, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed, 15 citations in OpenAlex.
- An INS-1 832/13 𝛽-Cell Proteome Highlights the Rapid Regulation of Fatty Acid Biosynthesis in Glucose-Stimulated Insulin Secretion.Proteomics · 2025Article
- The impact of macronutrient composition on metabolic regulation: An Islet-Centric view.Acta physiologica (Oxford, England) · 2022Article
- Cluster-assembled zirconia substrates promote long-term differentiation and functioning of human islets of Langerhans.Scientific reports · 2018Article
- Effect of a mitochondrial-targeted coenzyme Q analog on pancreatic β-cell function and energetics in high fat fed obese mice.Pharmacology research & perspectives · 2018Article
- An 8-week diet high in cereal fiber and coffee but free of red meat does not improve beta-cell function in patients with type 2 diabetes mellitus: a randomized controlled trial.Nutrition & metabolism · 2018Article
- Article
- Type 2 diabetes in Asia: where do we go from here?European journal of clinical nutrition · 2017Article
- Insights into pancreatic β cell energy metabolism using rodent β cell models.Wellcome open research · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diabetes mellitus is widely recognised as one of the most serious metabolic diseases worldwide, and its incidence in Asian countries is growing at an alarming rate. Type 2 diabetes (T2DM) is closely associated with age, sedentary lifestyle and poor diet. In T2DM, β-cell dysfunction will occur before hyperglycaemia develops. Excessive levels of glucose, lipid and various inflammatory factors interact at the level of the pancreatic islet to promote β-cell dysfunction. Pancreatic β-cell lines have been widely utilised since the early 1980s and have contributed a large volume of important information regarding molecular, metabolic and genetic mechanisms that regulate insulin secretion. The purpose of this review is to describe the origin and characteristics of the most commonly used β-cell lines and their contribution to discovery of fundamental regulatory processes that control insulin production and release. Pancreatic islets obtained from rodents as well as other animals have additionally provided information on the architecture and three-dimensional design of this endocrine tissue that allows precise regulation of hormone release. Understanding the nature of failure of physiologic and metabolic processes leading to insufficient insulin release and subsequent diabetes has allowed development of novel anti-diabetic therapeutics, now in common use, worldwide.
Indexed as
Identifiers
What Socratic holds
Registered trials
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.