SORCS1 is necessary for normal insulin secretory granule biogenesis in metabolically stressed β cells

Kebede, Melkam A.; Oler, Angie T.; Gregg, Trillian; Balloon, Allison J.; Johnson, Adam B.; Mitok, Kelly A.; Rabaglia, Mary E.; Schueler, Kathryn L.; Stapleton, Donald S.; Thorstenson, Candice; Wrighton, Lindsay S.; Floyd, Brendan J.; Richards, Oliver C.; Raines, Summer M.; Eliceiri, Kevin W.; Seidah, Nabil G.; Rhodes, Christopher J.; Keller, Mark P.; Coon, Joshua L.; Audhya, Anjon; Attie, Alan D.

doi:10.1172/jci74072

Cited by 57 publications

(72 citation statements)

References 71 publications

(85 reference statements)

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“…Isolation of mouse pancreatic islets -Islets were isolated using collagenase/thermolysin digestion and handpicking under a stereomicroscope as described [57,59] with modification. Briefly, 0.25 mg/mL Liberase (Sigma-Aldrich) in HBSS (GIBCO) with 20 mM HEPES was injected into the common bile duct.…”

Section: Glucose Tolerance Testing (Glucose Insulin and C-peptide Mementioning

confidence: 99%

“…Islet insulin secretion -Islet static insulin secretion assays were performed previously described [59] with the following modifications. After recovery islets were transferred into KRBH containing 2.8 mM glucose and pre-incubated at 37°C for 1 h. At the end of the pre-incubation five islets of equivalent size were placed in KRBH supplemented with 2.8 or 16.7 mM glucose in the presence or absence of 20 ng/mL Leptin for 1 h. The tubes were centrifuged at 1500 RPM for 5 min and the islet incubation media collected and frozen for insulin determination by an ELISA (Crystal Chem).…”

Section: Glucose Tolerance Testing (Glucose Insulin and C-peptide Mementioning

confidence: 99%

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High dietary fat and sucrose result in an extensive and time-dependent deterioration in health of multiple physiological systems in mice

Burchfield

Kebede

Meoli

et al. 2018

Journal of Biological Chemistry

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Section: Glucose Tolerance Testing (Glucose Insulin and C-peptide Mementioning

confidence: 99%

Section: Glucose Tolerance Testing (Glucose Insulin and C-peptide Mementioning

confidence: 99%

High dietary fat and sucrose result in an extensive and time-dependent deterioration in health of multiple physiological systems in mice

Burchfield

Kebede

Meoli

et al. 2018

Journal of Biological Chemistry

Self Cite

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“…It is not necessary if only IGF1 will be assayed or for flow cytometry.) A 4–6 hour fast is common for determinations of blood glucose levels (Kebede et al, 2014; Svenson et al 2007), although variations are many. For example, IMPReSS (International Mouse Phenotyping Resource of Standardised Screens) does not fast at all for simple blood glucose determinations, but fasts overnight for a glucose tolerance test (details at https://www.mousephenotype.org/impress).…”

Section: Basic Protocol 4: Blood Collection For Assessment Of Hematolmentioning

confidence: 99%

Aging Research Using Mouse Models

et al. 2015

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Despite the dramatic increase in human lifespan over the past century, there remains pronounced variability in “health-span”, or the period of time in which one is generally healthy and free of disease. Much of the variability in health-span and lifespan is thought to be genetic in origin. Understanding the genetic mechanisms of aging and identifying ways to boost longevity is a primary goal in aging research. Here, we describe a pipeline of phenotypic assays for assessing mouse models of aging. This pipeline includes behavior/cognition testing, body composition analysis, and tests of kidney function, hematopoiesis, immune function and physical parameters. We also describe study design methods for assessing lifespan and health-span, and other important considerations when conducting aging research in the laboratory mouse. The tools and assays provided can assist researchers with understanding the correlative relationships between age-associated phenotypes and, ultimately, the role of specific genes in the aging process.

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“…This hypothesis is supported by studies in Sorcs1 null mice in which loss of SORCS1 coincides with an insulin secretory dysfunction. This secretion defect is likely caused by a failure to replenish secretory granules (SG) following repeated stimulation of islets with various secretagouges 58 .…”

Section: Sorcs1 a Diabetes Risk Factor And Regulator Of Insulin Secrmentioning

confidence: 99%

Protein sorting gone wrong – VPS10P domain receptors in cardiovascular and metabolic diseases

Schmidt

Willnow

2016

Atherosclerosis

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VPS10P domain receptors are a unique class of sorting receptors that direct intracellular transport of target proteins in neurons and that play central roles in neurodegenerative processes. Surprisingly, genome-wide association studies now implicate the very same receptors in cardiovascular and metabolic disturbances. In this review, we discuss current findings that uncovered some of the molecular mechanisms whereby sorting receptors, such as SORLA, sortilin, and SORCS1 control homeostasis in cardiovascular and metabolic tissues, and how they promote hypercholesterolemia, atherosclerosis, obesity, and diabetes, when being altered.3

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SORCS1 is necessary for normal insulin secretory granule biogenesis in metabolically stressed β cells

Cited by 57 publications

References 71 publications

High dietary fat and sucrose result in an extensive and time-dependent deterioration in health of multiple physiological systems in mice

High dietary fat and sucrose result in an extensive and time-dependent deterioration in health of multiple physiological systems in mice

Aging Research Using Mouse Models

Protein sorting gone wrong – VPS10P domain receptors in cardiovascular and metabolic diseases

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