Evidence map›Paper›PMID 28852792›Full record

ArticleDiabetologia2018

Human pancreatic neuro-insular network in health and fatty infiltration.

Shiue-Cheng Tang, Luc Baeyens, Chia-Ning Shen, Shih-Jung Peng, Hung-Jen Chien, David W Scheel, Chester E Chamberlain, Michael S German

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Diabetologia, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 1 pooled it
8.2field-weighted citation impact, top 2% 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

62 citing papers in PubMed, 1 synthesis or guideline pooled it, 96 citations in OpenAlex.

  1. A Systematic Review of Intra-pancreatic Fat Deposition and Pancreatic Carcinogenesis.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2020
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  15. Optogenetic control of β cell function.Nature biomedical engineering · 2024
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2 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

8 authors at 4 institutions in 2 countries.

Shiue-Cheng TangConnectomics Research Center, National Tsing Hua University, Hsinchu, Taiwan. sctang@life.nthu.edu.tw.
Luc BaeyensEli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California at San Francisco, San Francisco, CA, USA.
Chia-Ning ShenGenomics Research Center, Academia Sinica, Taipei, Taiwan.
Shih-Jung PengConnectomics Research Center, National Tsing Hua University, Hsinchu, Taiwan.
Hung-Jen ChienInstitute of Biotechnology, National Tsing Hua University, Hsinchu, Taiwan.
David W ScheelEli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California at San Francisco, San Francisco, CA, USA.
Chester E ChamberlainEli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California at San Francisco, San Francisco, CA, USA.
Michael S GermanEli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California at San Francisco, San Francisco, CA, USA.
National Tsing Hua University · TWUniversity of California, San Francisco · USBroad Center · USGenomics Research Center, Academia Sinica · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aims/hypothesisIdentification of a pancreatic neuro-insular network in mice suggests that a similar integration of islets and nerves may be present in the human pancreas. To characterise the neuro-insular network and the intra-pancreatic ganglia in a clinically related setting, we examined human pancreases in health and with fatty infiltration via 3-dimensional (3D) histology and compared the human pancreatic microenvironment with its counterpart in mice.

methodsHuman pancreatic specimens from individuals with normal BMI, high BMI (≥ 25) and type 2 diabetes were used to investigate the neuro-insular network. Transparent specimens were prepared by tissue clearing for transmitted light and deep-tissue fluorescence imaging to simultaneously visualise infiltrated adipocytes, islets and neurovascular networks.

resultsHigh-definition images of human islets reveal that both the sympathetic and parasympathetic nerves enter the islet core and reside in the immediate microenvironment of islet cells. Around the islets, the neuro-insular network is visualised with 3D histology to identify the intra-pancreatic ganglia (peri-lobular and intra-parenchymal ganglia) and the islet-ganglionic association. In humans, but not in mice, pancreatic fatty infiltration (BMI dependent) features adipocytes infiltrating into the parenchyma and accumulating in the peri-lobular space, in which the peri-lobular ganglia also reside. We identified the formation of adipose-ganglionic complexes in the peri-lobular space and enlargement of ganglia around adipocytes. In the specimen from the individual with type 2 diabetes, an increase in the number of nerve projections from the intra-parenchymal ganglia is associated with severe fatty infiltration. CONCLUSIONS/

interpretationWe present new perspectives of human pancreas and islet innervation via 3D histology. Our results strongly suggest that fatty infiltration in the human pancreas creates a neurotrophic microenvironment and promotes remodelling of pancreatic innervation.

Indexed as

AdipocytesAnimalsBody Mass IndexDiabetes Mellitus, Type 2HumansIslets of LangerhansMiceObesityPancreasSympathetic Nervous SystemAdipocyteAutonomic innervationBMIFatty infiltrationHuman isletObesityPancreatic gangliaSympathetic nerveType 2 diabetes

Identifiers

PMID28852792
OpenAlexW2753044843

What OpenQuestion 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 OpenQuestion graph.