Evidence map›Paper›PMID 30795914›Full record

ArticleMolecular metabolism2019

Membrane metallo-endopeptidase (Neprilysin) regulates inflammatory response and insulin signaling in white preadipocytes.

Alfred K Ramirez, Simon Dankel, Weikang Cai, Masaji Sakaguchi, Simon Kasif, C Ronald Kahn

Open access · goldAbstract read
In one paragraph

Article in Molecular metabolism, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

17 citing papers in PubMed, 25 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

Alfred K RamirezSection of Integrative Physiology and Metabolism, Joslin Diabetes Center, Harvard Medical School, Boston, MA 02215, USA; Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA.
Simon DankelSection of Integrative Physiology and Metabolism, Joslin Diabetes Center, Harvard Medical School, Boston, MA 02215, USA; Hormone Laboratory, Haukeland University Hospital, 5020 Bergen, Norway.
Weikang CaiSection of Integrative Physiology and Metabolism, Joslin Diabetes Center, Harvard Medical School, Boston, MA 02215, USA.
Masaji SakaguchiSection of Integrative Physiology and Metabolism, Joslin Diabetes Center, Harvard Medical School, Boston, MA 02215, USA.
Simon KasifDepartment of Biomedical Engineering, Boston University, Boston, MA 02215, USA; Graduate Program in Bioinformatics, Boston University, Boston, MA 02215, USA.
C Ronald KahnSection of Integrative Physiology and Metabolism, Joslin Diabetes Center, Harvard Medical School, Boston, MA 02215, USA. Electronic address: C.Ronald.Kahn@joslin.harvard.edu.
Joslin Diabetes Center · USHarvard University · USBoston University · US

Funding

SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI ROHIT N. KULKARNI · 1986 to 2026
$50.5M
TRAINING IN DIABETES AND METABOLISMT32DK007260 · NIDDK · JOSLIN DIABETES CENTER · PI LAURIE J GOODYEAR · 1986 to 2026
$13.6M
Developmental genes, miRNAs and adipose tissueR01DK082659 · NIDDK · JOSLIN DIABETES CENTER · PI C RONALD KAHN · 2009 to 2026
$10.7M
Insulin Receptor Substrates and Insulin ActionR01DK033201 · NIDDK · JOSLIN DIABETES CENTER · PI KAHN, C RONALD · 1986 to 2016
$10.6M
Regulation of neural function by astrocyte insulin and IGF-1 receptor signalingK01DK120740 · NIDDK · NEW YORK INST OF TECHNOLOGY · PI CAI, WEIKANG · 2019 to 2021
$439k
NIDDK NIH HHS K01 DK120740NIDDK NIH HHS P30 DK036836NIDDK NIH HHS R01 DK033201NIDDK NIH HHS R01 DK082659NIDDK NIH HHS T32 DK007260
6 · The paper itself

Abstract

objectiveAccumulation of visceral white adipose tissue (WAT) associates with insulin resistance, adipose tissue inflammation, and metabolic syndrome, whereas accumulation of subcutaneous WAT may be protective. We aimed to identify molecular mechanisms that might provide mechanistic insights underlying the phenotypic differences in these tissues. Membrane Metallo-Endopeptidase (MME/Neprislyin) is an extracellular, membrane-bound protease enriched in subcutaneous WAT that can target degradation of a variety of peptides, including insulin, IL6, and β-amyloids. We hypothesized that MME contributes to adipose depot-specific metabolic properties.

methodsWe performed RNA sequencing on human subcutaneous and visceral preadipocytes and array gene expression profiling in murine subcutaneous and visceral preadipocytes. We conducted several insulin signaling and inflammatory response experiments on different cellular states of MME expression.

resultsMME in white preadipocytes is expressed at a higher level in subcutaneous compared to visceral WAT and favors insulin signaling and a low inflammatory response. Thus, knockdown of MME in subcutaneous preadipocytes increased the inflammatory response to substance P and amyloid β aggregates. This associated with increased basal insulin signaling and decreased insulin-stimulated signaling. Moreover, MME differentially regulates the internalization and turnover of the α/β subunits of the insulin receptor.

conclusionMME is a novel regulator of the insulin receptor in adipose tissue. Given the clinical significance of both chronic inflammation and insulin sensitivity in metabolic disease, these results show a potentially new target to increase insulin sensitivity and decrease inflammatory susceptibility.

Indexed as

Signal TransductionAdipose Tissue, WhiteAnimalsCells, CulturedHumansInflammationInsulinMaleMiceMice, Inbred C57BLNeprilysinInsulinNeprilysinAdiposeInflammationInsulin receptorInsulin signalingNeprilysinVisceral

Identifiers

PMID30795914
PMCPMC6437599
OpenAlexW2912862877

What OpenQuestion holds

Textmetadata
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.