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Showing 1 to 12 of 13 entries
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New Challenges in the Management of Diffuse Large B-Cell Lymphoma.

Treatment strategies. Hematology

Flowers CR, Nastoupil LJ, Bernal-Mizrachi L, Rose AC, Sinha R.
PMID: 23805376
Treat Strategies Hematol. 2012 Jan;2(1):68-73.

No abstract available.

Cite
Flowers CR, Nastoupil LJ, Bernal-Mizrachi L, et al. New Challenges in the Management of Diffuse Large B-Cell Lymphoma. Treat Strategies Hematol. 2012;2(1):68-73
Flowers, C. R., Nastoupil, L. J., Bernal-Mizrachi, L., Rose, A. C., & Sinha, R. (2012). New Challenges in the Management of Diffuse Large B-Cell Lymphoma. Treatment strategies. Hematology, 2(1), 68-73.
Flowers, Christopher R, et al. "New Challenges in the Management of Diffuse Large B-Cell Lymphoma." Treatment strategies. Hematology vol. 2,1 (2012): 68-73.
Flowers CR, Nastoupil LJ, Bernal-Mizrachi L, Rose AC, Sinha R. New Challenges in the Management of Diffuse Large B-Cell Lymphoma. Treat Strategies Hematol. 2012 Jan;2(1):68-73. PMID: 23805376; PMCID: PMC3690658.
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OGT Regulates Mitochondrial Biogenesis and Function via Diabetes Susceptibility Gene Pdx1.

Diabetes

Mohan R, Jo S, Lockridge A, Ferrington DA, Murray K, Eschenlauer A, Bernal-Mizrachi E, Fujitani Y, Alejandro EU.
PMID: 34462257
Diabetes. 2021 Nov;70(11):2608-2625. doi: 10.2337/db21-0468. Epub 2021 Aug 30.

No abstract available.

Cite
Mohan R, Jo S, Lockridge A, et al. OGT Regulates Mitochondrial Biogenesis and Function via Diabetes Susceptibility Gene Pdx1. Diabetes. 2021;70(11):2608-2625doi: 10.2337/db21-0468.
Mohan, R., Jo, S., Lockridge, A., Ferrington, D. A., Murray, K., Eschenlauer, A., Bernal-Mizrachi, E., Fujitani, Y., & Alejandro, E. U. (2021). OGT Regulates Mitochondrial Biogenesis and Function via Diabetes Susceptibility Gene Pdx1. Diabetes, 70(11), 2608-2625. https://doi.org/10.2337/db21-0468
Mohan, Ramkumar, et al. "OGT Regulates Mitochondrial Biogenesis and Function via Diabetes Susceptibility Gene Pdx1." Diabetes vol. 70,11 (2021): 2608-2625. doi: https://doi.org/10.2337/db21-0468
Mohan R, Jo S, Lockridge A, Ferrington DA, Murray K, Eschenlauer A, Bernal-Mizrachi E, Fujitani Y, Alejandro EU. OGT Regulates Mitochondrial Biogenesis and Function via Diabetes Susceptibility Gene Pdx1. Diabetes. 2021 Nov;70(11):2608-2625. doi: 10.2337/db21-0468. Epub 2021 Aug 30. PMID: 34462257; PMCID: PMC8564412.
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Improving Glycemic Control With a Standardized Text-Message and Phone-Based Intervention: A Community Implementation.

JMIR diabetes

Peters RM, Lui M, Patel K, Tian L, Javaherian K, Sink E, Xu R, Xu Z, Aung W, Zhou L, Huynh J, Polites G, Blanchard M, Som A, Ross W, Bernal-Mizrachi C.
PMID: 30291063
JMIR Diabetes. 2017 Jul 25;2(2):e15. doi: 10.2196/diabetes.7910.

BACKGROUND: Type II diabetes mellitus (T2DM) presents a major disease burden in the United States. Outpatient glycemic control among patients with T2DM remains difficult. Telemedicine shows great potential as an adjunct therapy to aid in glycemic control in real-world...

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Peters RM, Lui M, Patel K, et al. Improving Glycemic Control With a Standardized Text-Message and Phone-Based Intervention: A Community Implementation. JMIR Diabetes. 2017;2(2):e15doi: 10.2196/diabetes.7910.
Peters, R. M., Lui, M., Patel, K., Tian, L., Javaherian, K., Sink, E., Xu, R., Xu, Z., Aung, W., Zhou, L., Huynh, J., Polites, G., Blanchard, M., Som, A., Ross, W., & Bernal-Mizrachi, C. (2017). Improving Glycemic Control With a Standardized Text-Message and Phone-Based Intervention: A Community Implementation. JMIR diabetes, 2(2), e15. https://doi.org/10.2196/diabetes.7910
Peters, Robert Mattson, et al. "Improving Glycemic Control With a Standardized Text-Message and Phone-Based Intervention: A Community Implementation." JMIR diabetes vol. 2,2 (2017): e15. doi: https://doi.org/10.2196/diabetes.7910
Peters RM, Lui M, Patel K, Tian L, Javaherian K, Sink E, Xu R, Xu Z, Aung W, Zhou L, Huynh J, Polites G, Blanchard M, Som A, Ross W, Bernal-Mizrachi C. Improving Glycemic Control With a Standardized Text-Message and Phone-Based Intervention: A Community Implementation. JMIR Diabetes. 2017 Jul 25;2(2):e15. doi: 10.2196/diabetes.7910. PMID: 30291063; PMCID: PMC6238836.
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The potential relevance of the endocannabinoid, 2-arachidonoylglycerol, in diffuse large B-cell lymphoma.

Oncoscience

Zhang J, Medina-Cleghorn D, Bernal-Mizrachi L, Bracci PM, Hubbard A, Conde L, Riby J, Nomura DK, Skibola CF.
PMID: 26973858
Oncoscience. 2016 Jan 30;3(1):31-41. doi: 10.18632/oncoscience.289. eCollection 2016.

Diffuse large B-cell lymphoma is an aggressive, genetically heterogenerous disease and the most common type of non-Hodgkin lymphoma among adults. To gain further insights into the etiology of DLBCL and to discover potential disease-related factors, we performed a serum...

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Zhang J, Medina-Cleghorn D, Bernal-Mizrachi L, et al. The potential relevance of the endocannabinoid, 2-arachidonoylglycerol, in diffuse large B-cell lymphoma. Oncoscience. 2016;3(1):31-41doi: 10.18632/oncoscience.289.
Zhang, J., Medina-Cleghorn, D., Bernal-Mizrachi, L., Bracci, P. M., Hubbard, A., Conde, L., Riby, J., Nomura, D. K., & Skibola, C. F. (2016). The potential relevance of the endocannabinoid, 2-arachidonoylglycerol, in diffuse large B-cell lymphoma. Oncoscience, 3(1), 31-41. https://doi.org/10.18632/oncoscience.289
Zhang, Jianqing, et al. "The potential relevance of the endocannabinoid, 2-arachidonoylglycerol, in diffuse large B-cell lymphoma." Oncoscience vol. 3,1 (2016): 31-41. doi: https://doi.org/10.18632/oncoscience.289
Zhang J, Medina-Cleghorn D, Bernal-Mizrachi L, Bracci PM, Hubbard A, Conde L, Riby J, Nomura DK, Skibola CF. The potential relevance of the endocannabinoid, 2-arachidonoylglycerol, in diffuse large B-cell lymphoma. Oncoscience. 2016 Jan 30;3(1):31-41. doi: 10.18632/oncoscience.289. eCollection 2016. PMID: 26973858; PMCID: PMC4751914.
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Transient early food restriction leads to hypothalamic changes in the long-lived crowded litter female mice.

Physiological reports

Sadagurski M, Landeryou T, Cady G, Bartke A, Bernal-Mizrachi E, Miller RA.
PMID: 25907790
Physiol Rep. 2015 Apr;3(4). doi: 10.14814/phy2.12379.

Transient nutrient restriction in the 3 weeks between birth and weaning (producing "crowded litter" or CL mice) leads to a significant increase in lifespan and is associated with permanent changes in energy homeostasis, leptin, and insulin sensitivity. Here, we...

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Sadagurski M, Landeryou T, Cady G, et al. Transient early food restriction leads to hypothalamic changes in the long-lived crowded litter female mice. Physiol Rep. 2015;3(4)doi: 10.14814/phy2.12379.
Sadagurski, M., Landeryou, T., Cady, G., Bartke, A., Bernal-Mizrachi, E., & Miller, R. A. (2015). Transient early food restriction leads to hypothalamic changes in the long-lived crowded litter female mice. Physiological reports, 3(4), . https://doi.org/10.14814/phy2.12379
Sadagurski, Marianna, et al. "Transient early food restriction leads to hypothalamic changes in the long-lived crowded litter female mice." Physiological reports vol. 3,4 (2015). doi: https://doi.org/10.14814/phy2.12379
Sadagurski M, Landeryou T, Cady G, Bartke A, Bernal-Mizrachi E, Miller RA. Transient early food restriction leads to hypothalamic changes in the long-lived crowded litter female mice. Physiol Rep. 2015 Apr;3(4). doi: 10.14814/phy2.12379. PMID: 25907790; PMCID: PMC4425981.
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Referral Patterns and Clinical Outcomes for Transplant-Eligible Lymphoma and Myeloma Patients Evaluated at an Urban County Hospital.

Journal of stem cell research & therapy

Yun HD, Dossul T, Bernal-Mizrachi L, Switchenko J, Ndibe C, Ibraheem A, Dixon MD, Langston AA, Nooka AK, Flowers CR, Pentz RD, Waller EK.
PMID: 28966870
J Stem Cell Res Ther. 2016;6. doi: 10.4172/2157-7633.1000328. Epub 2016 Feb 19.

Disparities in clinical care have been described for patients with limited insurance coverage or social support. We hypothesized that patients with relapsed Hodgkin lymphoma (HL), non-Hodgkin lymphoma (NHL), or multiple myeloma (MM) treated at an urban county hospital serving...

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Yun HD, Dossul T, Bernal-Mizrachi L, et al. Referral Patterns and Clinical Outcomes for Transplant-Eligible Lymphoma and Myeloma Patients Evaluated at an Urban County Hospital. J Stem Cell Res Ther. 2016;6doi: 10.4172/2157-7633.1000328.
Yun, H. D., Dossul, T., Bernal-Mizrachi, L., Switchenko, J., Ndibe, C., Ibraheem, A., Dixon, M. D., Langston, A. A., Nooka, A. K., Flowers, C. R., Pentz, R. D., & Waller, E. K. (2016). Referral Patterns and Clinical Outcomes for Transplant-Eligible Lymphoma and Myeloma Patients Evaluated at an Urban County Hospital. Journal of stem cell research & therapy, 6. https://doi.org/10.4172/2157-7633.1000328
Yun, Hyun D, et al. "Referral Patterns and Clinical Outcomes for Transplant-Eligible Lymphoma and Myeloma Patients Evaluated at an Urban County Hospital." Journal of stem cell research & therapy vol. 6 (2016). doi: https://doi.org/10.4172/2157-7633.1000328
Yun HD, Dossul T, Bernal-Mizrachi L, Switchenko J, Ndibe C, Ibraheem A, Dixon MD, Langston AA, Nooka AK, Flowers CR, Pentz RD, Waller EK. Referral Patterns and Clinical Outcomes for Transplant-Eligible Lymphoma and Myeloma Patients Evaluated at an Urban County Hospital. J Stem Cell Res Ther. 2016;6. doi: 10.4172/2157-7633.1000328. Epub 2016 Feb 19. PMID: 28966870; PMCID: PMC5616211.
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Non-classical Vitamin D Actions for Renal Protection.

Frontiers in medicine

Dusso AS, Bauerle KT, Bernal-Mizrachi C.
PMID: 34950686
Front Med (Lausanne). 2021 Dec 07;8:790513. doi: 10.3389/fmed.2021.790513. eCollection 2021.

Chronic Kidney Disease (CKD), a disorder that affects 11% of the world's population, is characterized by an acceleration in skeletal, immune, renal, and cardiovascular aging that increases the risk of cardiovascular mortality by 10- to 20-fold, compared to that...

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Dusso AS, Bauerle KT, Bernal-Mizrachi C. Non-classical Vitamin D Actions for Renal Protection. Front Med (Lausanne). 2021;8:790513doi: 10.3389/fmed.2021.790513.
Dusso, A. S., Bauerle, K. T., & Bernal-Mizrachi, C. (2021). Non-classical Vitamin D Actions for Renal Protection. Frontiers in medicine, 8790513. https://doi.org/10.3389/fmed.2021.790513
Dusso, Adriana S, et al. "Non-classical Vitamin D Actions for Renal Protection." Frontiers in medicine vol. 8 (2021): 790513. doi: https://doi.org/10.3389/fmed.2021.790513
Dusso AS, Bauerle KT, Bernal-Mizrachi C. Non-classical Vitamin D Actions for Renal Protection. Front Med (Lausanne). 2021 Dec 07;8:790513. doi: 10.3389/fmed.2021.790513. eCollection 2021. PMID: 34950686; PMCID: PMC8688743.
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Non-classical Vitamin D Actions for Renal Protection.

Frontiers in medicine

Dusso AS, Bauerle KT, Bernal-Mizrachi C.
PMID: 34950686
Front Med (Lausanne). 2021 Dec 07;8:790513. doi: 10.3389/fmed.2021.790513. eCollection 2021.

Chronic Kidney Disease (CKD), a disorder that affects 11% of the world's population, is characterized by an acceleration in skeletal, immune, renal, and cardiovascular aging that increases the risk of cardiovascular mortality by 10- to 20-fold, compared to that...

Cite
Dusso AS, Bauerle KT, Bernal-Mizrachi C. Non-classical Vitamin D Actions for Renal Protection. Front Med (Lausanne). 2021;8:790513doi: 10.3389/fmed.2021.790513.
Dusso, A. S., Bauerle, K. T., & Bernal-Mizrachi, C. (2021). Non-classical Vitamin D Actions for Renal Protection. Frontiers in medicine, 8790513. https://doi.org/10.3389/fmed.2021.790513
Dusso, Adriana S, et al. "Non-classical Vitamin D Actions for Renal Protection." Frontiers in medicine vol. 8 (2021): 790513. doi: https://doi.org/10.3389/fmed.2021.790513
Dusso AS, Bauerle KT, Bernal-Mizrachi C. Non-classical Vitamin D Actions for Renal Protection. Front Med (Lausanne). 2021 Dec 07;8:790513. doi: 10.3389/fmed.2021.790513. eCollection 2021. PMID: 34950686; PMCID: PMC8688743.
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Non-classical Vitamin D Actions for Renal Protection.

Frontiers in medicine

Dusso AS, Bauerle KT, Bernal-Mizrachi C.
PMID: 34950686
Front Med (Lausanne). 2021 Dec 07;8:790513. doi: 10.3389/fmed.2021.790513. eCollection 2021.

Chronic Kidney Disease (CKD), a disorder that affects 11% of the world's population, is characterized by an acceleration in skeletal, immune, renal, and cardiovascular aging that increases the risk of cardiovascular mortality by 10- to 20-fold, compared to that...

Cite
Dusso AS, Bauerle KT, Bernal-Mizrachi C. Non-classical Vitamin D Actions for Renal Protection. Front Med (Lausanne). 2021;8:790513doi: 10.3389/fmed.2021.790513.
Dusso, A. S., Bauerle, K. T., & Bernal-Mizrachi, C. (2021). Non-classical Vitamin D Actions for Renal Protection. Frontiers in medicine, 8790513. https://doi.org/10.3389/fmed.2021.790513
Dusso, Adriana S, et al. "Non-classical Vitamin D Actions for Renal Protection." Frontiers in medicine vol. 8 (2021): 790513. doi: https://doi.org/10.3389/fmed.2021.790513
Dusso AS, Bauerle KT, Bernal-Mizrachi C. Non-classical Vitamin D Actions for Renal Protection. Front Med (Lausanne). 2021 Dec 07;8:790513. doi: 10.3389/fmed.2021.790513. eCollection 2021. PMID: 34950686; PMCID: PMC8688743.
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The nutrient sensor mTORC1 regulates insulin secretion by modulating ß-cell autophagy.

Diabetes

Israeli T, Riahi Y, Garzon P, Louzada RA, Werneck-de-Castro JP, Blandino-Rosano M, Yeroslaviz-Stolper R, Kadosh L, Tornovsky-Babeay S, Hacker G, Israeli N, Agmon O, Tirosh B, Cerasi E, Bernal-Mizrachi E, Leibowitz G.
PMID: 34862201
Diabetes. 2021 Dec 03; doi: 10.2337/db21-0281. Epub 2021 Dec 03.

The dynamic regulation of autophagy in β-cells by cycles of fasting-feeding and its effects on insulin secretion are unknown. In β-cells mTORC1 is inhibited while fasting, and is rapidly stimulated during refeeding by a single amino acid, leucine, and...

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Israeli T, Riahi Y, Garzon P, et al. The nutrient sensor mTORC1 regulates insulin secretion by modulating ß-cell autophagy. Diabetes. 2021;doi: 10.2337/db21-0281.
Israeli, T., Riahi, Y., Garzon, P., Louzada, R. A., Werneck-de-Castro, J. P., Blandino-Rosano, M., Yeroslaviz-Stolper, R., Kadosh, L., Tornovsky-Babeay, S., Hacker, G., Israeli, N., Agmon, O., Tirosh, B., Cerasi, E., Bernal-Mizrachi, E., & Leibowitz, G. (2021). The nutrient sensor mTORC1 regulates insulin secretion by modulating ß-cell autophagy. Diabetes, . https://doi.org/10.2337/db21-0281
Israeli, Tal, et al. "The nutrient sensor mTORC1 regulates insulin secretion by modulating ß-cell autophagy." Diabetes vol. (2021). doi: https://doi.org/10.2337/db21-0281
Israeli T, Riahi Y, Garzon P, Louzada RA, Werneck-de-Castro JP, Blandino-Rosano M, Yeroslaviz-Stolper R, Kadosh L, Tornovsky-Babeay S, Hacker G, Israeli N, Agmon O, Tirosh B, Cerasi E, Bernal-Mizrachi E, Leibowitz G. The nutrient sensor mTORC1 regulates insulin secretion by modulating ß-cell autophagy. Diabetes. 2021 Dec 03; doi: 10.2337/db21-0281. Epub 2021 Dec 03. PMID: 34862201.
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Improving HbA.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association

Xu R, Xing M, Javaherian K, Peters R, Ross W, Bernal-Mizrachi C.
PMID: 31621523
Telemed J E Health. 2020 Jun;26(6):784-793. doi: 10.1089/tmj.2019.0035. Epub 2019 Oct 16.

No abstract available.

Cite
Xu R, Xing M, Javaherian K, et al. Improving HbA. Telemed J E Health. 2019;26(6):784-793doi: 10.1089/tmj.2019.0035.
Xu, R., Xing, M., Javaherian, K., Peters, R., Ross, W., & Bernal-Mizrachi, C. (2020). Improving HbA. Telemedicine journal and e-health : the official journal of the American Telemedicine Association, 26(6), 784-793. https://doi.org/10.1089/tmj.2019.0035
Xu, Ran, et al. "Improving HbA." Telemedicine journal and e-health : the official journal of the American Telemedicine Association vol. 26,6 (2020): 784-793. doi: https://doi.org/10.1089/tmj.2019.0035
Xu R, Xing M, Javaherian K, Peters R, Ross W, Bernal-Mizrachi C. Improving HbA. Telemed J E Health. 2020 Jun;26(6):784-793. doi: 10.1089/tmj.2019.0035. Epub 2019 Oct 16. PMID: 31621523; PMCID: PMC7301318.
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Integrated analysis of whole-genome paired-end and mate-pair sequencing data for identifying genomic structural variations in multiple myeloma.

Cancer informatics

Yang R, Chen L, Newman S, Gandhi K, Doho G, Moreno CS, Vertino PM, Bernal-Mizarchi L, Lonial S, Boise LH, Rossi M, Kowalski J, Qin ZS.
PMID: 25288879
Cancer Inform. 2014 Sep 21;13:49-53. doi: 10.4137/CIN.S13783. eCollection 2014.

We present a pipeline to perform integrative analysis of mate-pair (MP) and paired-end (PE) genomic DNA sequencing data. Our pipeline detects structural variations (SVs) by taking aligned sequencing read pairs as input and classifying these reads into properly paired...

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Yang R, Chen L, Newman S, et al. Integrated analysis of whole-genome paired-end and mate-pair sequencing data for identifying genomic structural variations in multiple myeloma. Cancer Inform. 2014;13:49-53doi: 10.4137/CIN.S13783.
Yang, R., Chen, L., Newman, S., Gandhi, K., Doho, G., Moreno, C. S., Vertino, P. M., Bernal-Mizarchi, L., Lonial, S., Boise, L. H., Rossi, M., Kowalski, J., & Qin, Z. S. (2014). Integrated analysis of whole-genome paired-end and mate-pair sequencing data for identifying genomic structural variations in multiple myeloma. Cancer informatics, 1349-53. https://doi.org/10.4137/CIN.S13783
Yang, Rendong, et al. "Integrated analysis of whole-genome paired-end and mate-pair sequencing data for identifying genomic structural variations in multiple myeloma." Cancer informatics vol. 13 (2014): 49-53. doi: https://doi.org/10.4137/CIN.S13783
Yang R, Chen L, Newman S, Gandhi K, Doho G, Moreno CS, Vertino PM, Bernal-Mizarchi L, Lonial S, Boise LH, Rossi M, Kowalski J, Qin ZS. Integrated analysis of whole-genome paired-end and mate-pair sequencing data for identifying genomic structural variations in multiple myeloma. Cancer Inform. 2014 Sep 21;13:49-53. doi: 10.4137/CIN.S13783. eCollection 2014. PMID: 25288879; PMCID: PMC4179644.
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Showing 1 to 12 of 13 entries