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Non-Mammalian Vertebrates: Distinct Models to Assess the Role of Ion Gradients in Energy Expenditure.

Frontiers in endocrinology

Geisler CE, Kentch KP, Renquist BJ.
PMID: 28919880
Front Endocrinol (Lausanne). 2017 Sep 01;8:224. doi: 10.3389/fendo.2017.00224. eCollection 2017.

Animals store metabolic energy as electrochemical gradients. At least 50% of mammalian energy is expended to maintain electrochemical gradients across the inner mitochondrial membrane (H

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Geisler CE, Kentch KP, Renquist BJ. Non-Mammalian Vertebrates: Distinct Models to Assess the Role of Ion Gradients in Energy Expenditure. Front Endocrinol (Lausanne). 2017;8:224doi: 10.3389/fendo.2017.00224.
Geisler, C. E., Kentch, K. P., & Renquist, B. J. (2017). Non-Mammalian Vertebrates: Distinct Models to Assess the Role of Ion Gradients in Energy Expenditure. Frontiers in endocrinology, 8224. https://doi.org/10.3389/fendo.2017.00224
Geisler, Caroline E, et al. "Non-Mammalian Vertebrates: Distinct Models to Assess the Role of Ion Gradients in Energy Expenditure." Frontiers in endocrinology vol. 8 (2017): 224. doi: https://doi.org/10.3389/fendo.2017.00224
Geisler CE, Kentch KP, Renquist BJ. Non-Mammalian Vertebrates: Distinct Models to Assess the Role of Ion Gradients in Energy Expenditure. Front Endocrinol (Lausanne). 2017 Sep 01;8:224. doi: 10.3389/fendo.2017.00224. eCollection 2017. PMID: 28919880; PMCID: PMC5585156.
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Calculating Follow-up Rates.

Obesity surgery

Renquist K, Jeng G, Mason EE.
PMID: 10765197
Obes Surg. 1992 Nov;2(4):361-367. doi: 10.1381/096089292765559963.

Follow-up rates are presented as a percentage but the method of calculation is seldom discussed. Determining a follow-up rate begins with identifying the numerator and denominator used in the calculation. Four methods of calculating follow-up rate after surgical treatment...

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Renquist K, Jeng G, Mason EE. Calculating Follow-up Rates. Obes Surg. 1992;2(4):361-367doi: 10.1381/096089292765559963.
Renquist, K., Jeng, G., & Mason, E. E. (1992). Calculating Follow-up Rates. Obesity surgery, 2(4), 361-367. https://doi.org/10.1381/096089292765559963
Renquist, et al. "Calculating Follow-up Rates." Obesity surgery vol. 2,4 (1992): 361-367. doi: https://doi.org/10.1381/096089292765559963
Renquist K, Jeng G, Mason EE. Calculating Follow-up Rates. Obes Surg. 1992 Nov;2(4):361-367. doi: 10.1381/096089292765559963. PMID: 10765197.
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A Study on Predicting Weight Loss Following Surgical Treatment for Obesity.

Obesity surgery

Jeng G, Renquist K, Doherty C, Mason EE.
PMID: 10742760
Obes Surg. 1994 Feb;4(1):29-36. doi: 10.1381/096089294765558863.

To date, longitudinal weight loss analyses (curve-fitting) have been complicated by non-linear weight patterns, incomplete follow-up, and varied follow-up times. Therefore, the cross-sectional design (one time point survey) was chosen to study predictors of weight loss at yearly postoperative...

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Jeng G, Renquist K, Doherty C, et al. A Study on Predicting Weight Loss Following Surgical Treatment for Obesity. Obes Surg. 1994;4(1):29-36doi: 10.1381/096089294765558863.
Jeng, G., Renquist, K., Doherty, C., & Mason, E. E. (1994). A Study on Predicting Weight Loss Following Surgical Treatment for Obesity. Obesity surgery, 4(1), 29-36. https://doi.org/10.1381/096089294765558863
Jeng, et al. "A Study on Predicting Weight Loss Following Surgical Treatment for Obesity." Obesity surgery vol. 4,1 (1994): 29-36. doi: https://doi.org/10.1381/096089294765558863
Jeng G, Renquist K, Doherty C, Mason EE. A Study on Predicting Weight Loss Following Surgical Treatment for Obesity. Obes Surg. 1994 Feb;4(1):29-36. doi: 10.1381/096089294765558863. PMID: 10742760.
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A Per diem Rate Comparison, Interrelating Budget Size, Percent Recovery, Facility Size, Accreditation, and Cost Accounting Factors.

Contemporary topics in laboratory animal science

Bailey JW, Cypess RH, Renquist DM.
PMID: 16468706
Contemp Top Lab Anim Sci. 1993 Sep;33(5):18-9.

No abstract available.

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Bailey JW, Cypess RH, Renquist DM. A Per diem Rate Comparison, Interrelating Budget Size, Percent Recovery, Facility Size, Accreditation, and Cost Accounting Factors. Contemp Top Lab Anim Sci. 1993;33(5):18-9
Bailey, J. W., Cypess, R. H., & Renquist, D. M. (1993). A Per diem Rate Comparison, Interrelating Budget Size, Percent Recovery, Facility Size, Accreditation, and Cost Accounting Factors. Contemporary topics in laboratory animal science, 33(5), 18-9.
Bailey, J W, et al. "A Per diem Rate Comparison, Interrelating Budget Size, Percent Recovery, Facility Size, Accreditation, and Cost Accounting Factors." Contemporary topics in laboratory animal science vol. 33,5 (1993): 18-9.
Bailey JW, Cypess RH, Renquist DM. A Per diem Rate Comparison, Interrelating Budget Size, Percent Recovery, Facility Size, Accreditation, and Cost Accounting Factors. Contemp Top Lab Anim Sci. 1993 Sep;33(5):18-9. PMID: 16468706.
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4DNvestigator: time series genomic data analysis toolbox.

Nucleus (Austin, Tex.)

Lindsly S, Chen C, Liu S, Ronquist S, Dilworth S, Perlman M, Rajapakse I.
PMID: 33794739
Nucleus. 2021 Dec;12(1):58-64. doi: 10.1080/19491034.2021.1910437.

Data on genome organization and output over time, or the 4D Nucleome (4DN), require synthesis for meaningful interpretation. Development of tools for the efficient integration of these data is needed, especially for the time dimension. We present the '4DNvestigator',...

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Lindsly S, Chen C, Liu S, et al. 4DNvestigator: time series genomic data analysis toolbox. Nucleus. 2021;12(1):58-64doi: 10.1080/19491034.2021.1910437.
Lindsly, S., Chen, C., Liu, S., Ronquist, S., Dilworth, S., Perlman, M., & Rajapakse, I. (2021). 4DNvestigator: time series genomic data analysis toolbox. Nucleus (Austin, Tex.), 12(1), 58-64. https://doi.org/10.1080/19491034.2021.1910437
Lindsly, Stephen, et al. "4DNvestigator: time series genomic data analysis toolbox." Nucleus (Austin, Tex.) vol. 12,1 (2021): 58-64. doi: https://doi.org/10.1080/19491034.2021.1910437
Lindsly S, Chen C, Liu S, Ronquist S, Dilworth S, Perlman M, Rajapakse I. 4DNvestigator: time series genomic data analysis toolbox. Nucleus. 2021 Dec;12(1):58-64. doi: 10.1080/19491034.2021.1910437. PMID: 33794739; PMCID: PMC8049205.
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Human CD206+ macrophages associate with diabetes and adipose tissue lymphoid clusters.

JCI insight

Muir LA, Cho KW, Geletka LM, Baker NA, Flesher CG, Ehlers AP, Kaciroti N, Lindsly S, Ronquist S, Rajapakse I, O'Rourke RW, Lumeng CN.
PMID: 34990410
JCI Insight. 2022 Jan 06; doi: 10.1172/jci.insight.146563. Epub 2022 Jan 06.

Increased adipose tissue macrophages (ATM) correlate with metabolic dysfunction in humans and are causal in development of insulin resistance in mice. Recent bulk and single cell transcriptomics studies reveal a wide spectrum of gene expression signatures possible for macrophages...

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Muir LA, Cho KW, Geletka LM, et al. Human CD206+ macrophages associate with diabetes and adipose tissue lymphoid clusters. JCI Insight. 2022;doi: 10.1172/jci.insight.146563.
Muir, L. A., Cho, K. W., Geletka, L. M., Baker, N. A., Flesher, C. G., Ehlers, A. P., Kaciroti, N., Lindsly, S., Ronquist, S., Rajapakse, I., O'Rourke, R. W., & Lumeng, C. N. (2022). Human CD206+ macrophages associate with diabetes and adipose tissue lymphoid clusters. JCI insight, . https://doi.org/10.1172/jci.insight.146563
Muir, Lindsey A, et al. "Human CD206+ macrophages associate with diabetes and adipose tissue lymphoid clusters." JCI insight vol. (2022). doi: https://doi.org/10.1172/jci.insight.146563
Muir LA, Cho KW, Geletka LM, Baker NA, Flesher CG, Ehlers AP, Kaciroti N, Lindsly S, Ronquist S, Rajapakse I, O'Rourke RW, Lumeng CN. Human CD206+ macrophages associate with diabetes and adipose tissue lymphoid clusters. JCI Insight. 2022 Jan 06; doi: 10.1172/jci.insight.146563. Epub 2022 Jan 06. PMID: 34990410.
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Functional organization of the maternal and paternal human 4D Nucleome.

iScience

Lindsly S, Jia W, Chen H, Liu S, Ronquist S, Chen C, Wen X, Stansbury C, Dotson GA, Ryan C, Rehemtulla A, Omenn GS, Wicha M, Li SC, Muir L, Rajapakse I.
PMID: 34877507
iScience. 2021 Nov 16;24(12):103452. doi: 10.1016/j.isci.2021.103452. eCollection 2021 Dec 17.

Every human somatic cell inherits a maternal and a paternal genome, which work together to give rise to cellular phenotypes. However, the allele-specific relationship between gene expression and genome structure through the cell cycle is largely unknown. By integrating...

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Lindsly S, Jia W, Chen H, et al. Functional organization of the maternal and paternal human 4D Nucleome. iScience. 2021;24(12):103452doi: 10.1016/j.isci.2021.103452.
Lindsly, S., Jia, W., Chen, H., Liu, S., Ronquist, S., Chen, C., Wen, X., Stansbury, C., Dotson, G. A., Ryan, C., Rehemtulla, A., Omenn, G. S., Wicha, M., Li, S. C., Muir, L., & Rajapakse, I. (2021). Functional organization of the maternal and paternal human 4D Nucleome. iScience, 24(12), 103452. https://doi.org/10.1016/j.isci.2021.103452
Lindsly, Stephen, et al. "Functional organization of the maternal and paternal human 4D Nucleome." iScience vol. 24,12 (2021): 103452. doi: https://doi.org/10.1016/j.isci.2021.103452
Lindsly S, Jia W, Chen H, Liu S, Ronquist S, Chen C, Wen X, Stansbury C, Dotson GA, Ryan C, Rehemtulla A, Omenn GS, Wicha M, Li SC, Muir L, Rajapakse I. Functional organization of the maternal and paternal human 4D Nucleome. iScience. 2021 Nov 16;24(12):103452. doi: 10.1016/j.isci.2021.103452. eCollection 2021 Dec 17. PMID: 34877507; PMCID: PMC8633971.
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Predictors of Two Obesity Complications: diabetes and hypertension.

Obesity surgery

Mason EE, Renquist K, Jiang D.
PMID: 10765179
Obes Surg. 1992 Aug;2(3):231-237. doi: 10.1381/096089292765560105.

Gender, age, waist-hip ratio (WHR) and body mass index (BMI) have been reported to herald two complications of obesity: diabetes or hypertension. Most literature is based on patient populations with mean BMIs ranging from 22 to 35 kg/m(2). This...

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Mason EE, Renquist K, Jiang D. Predictors of Two Obesity Complications: diabetes and hypertension. Obes Surg. 1992;2(3):231-237doi: 10.1381/096089292765560105.
Mason, E. E., Renquist, K., & Jiang, D. (1992). Predictors of Two Obesity Complications: diabetes and hypertension. Obesity surgery, 2(3), 231-237. https://doi.org/10.1381/096089292765560105
Mason, et al. "Predictors of Two Obesity Complications: diabetes and hypertension." Obesity surgery vol. 2,3 (1992): 231-237. doi: https://doi.org/10.1381/096089292765560105
Mason EE, Renquist K, Jiang D. Predictors of Two Obesity Complications: diabetes and hypertension. Obes Surg. 1992 Aug;2(3):231-237. doi: 10.1381/096089292765560105. PMID: 10765179.
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Functional organization of the maternal and paternal human 4D Nucleome.

iScience

Lindsly S, Jia W, Chen H, Liu S, Ronquist S, Chen C, Wen X, Stansbury C, Dotson GA, Ryan C, Rehemtulla A, Omenn GS, Wicha M, Li SC, Muir L, Rajapakse I.
PMID: 34877507
iScience. 2021 Nov 16;24(12):103452. doi: 10.1016/j.isci.2021.103452. eCollection 2021 Dec 17.

Every human somatic cell inherits a maternal and a paternal genome, which work together to give rise to cellular phenotypes. However, the allele-specific relationship between gene expression and genome structure through the cell cycle is largely unknown. By integrating...

Cite
Lindsly S, Jia W, Chen H, et al. Functional organization of the maternal and paternal human 4D Nucleome. iScience. 2021;24(12):103452doi: 10.1016/j.isci.2021.103452.
Lindsly, S., Jia, W., Chen, H., Liu, S., Ronquist, S., Chen, C., Wen, X., Stansbury, C., Dotson, G. A., Ryan, C., Rehemtulla, A., Omenn, G. S., Wicha, M., Li, S. C., Muir, L., & Rajapakse, I. (2021). Functional organization of the maternal and paternal human 4D Nucleome. iScience, 24(12), 103452. https://doi.org/10.1016/j.isci.2021.103452
Lindsly, Stephen, et al. "Functional organization of the maternal and paternal human 4D Nucleome." iScience vol. 24,12 (2021): 103452. doi: https://doi.org/10.1016/j.isci.2021.103452
Lindsly S, Jia W, Chen H, Liu S, Ronquist S, Chen C, Wen X, Stansbury C, Dotson GA, Ryan C, Rehemtulla A, Omenn GS, Wicha M, Li SC, Muir L, Rajapakse I. Functional organization of the maternal and paternal human 4D Nucleome. iScience. 2021 Nov 16;24(12):103452. doi: 10.1016/j.isci.2021.103452. eCollection 2021 Dec 17. PMID: 34877507; PMCID: PMC8633971.
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A critical role of hepatic GABA in the metabolic dysfunction and hyperphagia of obesity.

Cell reports

Geisler CE, Ghimire S, Bruggink SM, Miller KE, Weninger SN, Kronenfeld JM, Yoshino J, Klein S, Duca FA, Renquist BJ.
PMID: 34192532
Cell Rep. 2021 Jun 29;35(13):109301. doi: 10.1016/j.celrep.2021.109301.

Hepatic lipid accumulation is a hallmark of type II diabetes (T2D) associated with hyperinsulinemia, insulin resistance, and hyperphagia. Hepatic synthesis of GABA, catalyzed by GABA-transaminase (GABA-T), is upregulated in obese mice. To assess the role of hepatic GABA production...

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Geisler CE, Ghimire S, Bruggink SM, et al. A critical role of hepatic GABA in the metabolic dysfunction and hyperphagia of obesity. Cell Rep. 2021;35(13):109301doi: 10.1016/j.celrep.2021.109301.
Geisler, C. E., Ghimire, S., Bruggink, S. M., Miller, K. E., Weninger, S. N., Kronenfeld, J. M., Yoshino, J., Klein, S., Duca, F. A., & Renquist, B. J. (2021). A critical role of hepatic GABA in the metabolic dysfunction and hyperphagia of obesity. Cell reports, 35(13), 109301. https://doi.org/10.1016/j.celrep.2021.109301
Geisler, Caroline E, et al. "A critical role of hepatic GABA in the metabolic dysfunction and hyperphagia of obesity." Cell reports vol. 35,13 (2021): 109301. doi: https://doi.org/10.1016/j.celrep.2021.109301
Geisler CE, Ghimire S, Bruggink SM, Miller KE, Weninger SN, Kronenfeld JM, Yoshino J, Klein S, Duca FA, Renquist BJ. A critical role of hepatic GABA in the metabolic dysfunction and hyperphagia of obesity. Cell Rep. 2021 Jun 29;35(13):109301. doi: 10.1016/j.celrep.2021.109301. PMID: 34192532.
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Hepatocyte membrane potential regulates serum insulin and insulin sensitivity by altering hepatic GABA release.

Cell reports

Geisler CE, Ghimire S, Hepler C, Miller KE, Bruggink SM, Kentch KP, Higgins MR, Banek CT, Yoshino J, Klein S, Renquist BJ.
PMID: 34192533
Cell Rep. 2021 Jun 29;35(13):109298. doi: 10.1016/j.celrep.2021.109298.

Hepatic lipid accumulation in obesity correlates with the severity of hyperinsulinemia and systemic insulin resistance. Obesity-induced hepatocellular lipid accumulation results in hepatocyte depolarization. We have established that hepatocyte depolarization depresses hepatic afferent vagal nerve firing, increases GABA release from...

Cite
Geisler CE, Ghimire S, Hepler C, et al. Hepatocyte membrane potential regulates serum insulin and insulin sensitivity by altering hepatic GABA release. Cell Rep. 2021;35(13):109298doi: 10.1016/j.celrep.2021.109298.
Geisler, C. E., Ghimire, S., Hepler, C., Miller, K. E., Bruggink, S. M., Kentch, K. P., Higgins, M. R., Banek, C. T., Yoshino, J., Klein, S., & Renquist, B. J. (2021). Hepatocyte membrane potential regulates serum insulin and insulin sensitivity by altering hepatic GABA release. Cell reports, 35(13), 109298. https://doi.org/10.1016/j.celrep.2021.109298
Geisler, Caroline E, et al. "Hepatocyte membrane potential regulates serum insulin and insulin sensitivity by altering hepatic GABA release." Cell reports vol. 35,13 (2021): 109298. doi: https://doi.org/10.1016/j.celrep.2021.109298
Geisler CE, Ghimire S, Hepler C, Miller KE, Bruggink SM, Kentch KP, Higgins MR, Banek CT, Yoshino J, Klein S, Renquist BJ. Hepatocyte membrane potential regulates serum insulin and insulin sensitivity by altering hepatic GABA release. Cell Rep. 2021 Jun 29;35(13):109298. doi: 10.1016/j.celrep.2021.109298. PMID: 34192533; PMCID: PMC8341405.
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Hepatocyte membrane potential regulates serum insulin and insulin sensitivity by altering hepatic GABA release.

Cell reports

Geisler CE, Ghimire S, Hepler C, Miller KE, Bruggink SM, Kentch KP, Higgins MR, Banek CT, Yoshino J, Klein S, Renquist BJ.
PMID: 34192533
Cell Rep. 2021 Jun 29;35(13):109298. doi: 10.1016/j.celrep.2021.109298.

Hepatic lipid accumulation in obesity correlates with the severity of hyperinsulinemia and systemic insulin resistance. Obesity-induced hepatocellular lipid accumulation results in hepatocyte depolarization. We have established that hepatocyte depolarization depresses hepatic afferent vagal nerve firing, increases GABA release from...

Cite
Geisler CE, Ghimire S, Hepler C, et al. Hepatocyte membrane potential regulates serum insulin and insulin sensitivity by altering hepatic GABA release. Cell Rep. 2021;35(13):109298doi: 10.1016/j.celrep.2021.109298.
Geisler, C. E., Ghimire, S., Hepler, C., Miller, K. E., Bruggink, S. M., Kentch, K. P., Higgins, M. R., Banek, C. T., Yoshino, J., Klein, S., & Renquist, B. J. (2021). Hepatocyte membrane potential regulates serum insulin and insulin sensitivity by altering hepatic GABA release. Cell reports, 35(13), 109298. https://doi.org/10.1016/j.celrep.2021.109298
Geisler, Caroline E, et al. "Hepatocyte membrane potential regulates serum insulin and insulin sensitivity by altering hepatic GABA release." Cell reports vol. 35,13 (2021): 109298. doi: https://doi.org/10.1016/j.celrep.2021.109298
Geisler CE, Ghimire S, Hepler C, Miller KE, Bruggink SM, Kentch KP, Higgins MR, Banek CT, Yoshino J, Klein S, Renquist BJ. Hepatocyte membrane potential regulates serum insulin and insulin sensitivity by altering hepatic GABA release. Cell Rep. 2021 Jun 29;35(13):109298. doi: 10.1016/j.celrep.2021.109298. PMID: 34192533; PMCID: PMC8341405.
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Showing 1 to 12 of 24 entries