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Hakim MH, Jun BH, Ahmadzadegan A, Babiak PM, Xu Q, Buno KP, Liu JC, Ardekani AM, Vlachos PP, Solorio L. Investigation of macromolecular transport through tunable collagen hyaluronic acid matrices. Colloids Surf B Biointerfaces 2023; 222:113123. [PMID: 36640539 DOI: 10.1016/j.colsurfb.2023.113123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 12/29/2022] [Accepted: 01/01/2023] [Indexed: 01/05/2023]
Abstract
Therapeutic macromolecules possess properties such as size and electrostatic charge that will dictate their transport through subcutaneous (SC) tissue and ultimate bioavailability and efficacy. To improve therapeutic design, platforms that systematically measure the transport of macromolecules as a function of both drug and tissue properties are needed. We utilize a Transwell chamber with tunable collagen-hyaluronic acid (ColHA) hydrogels as an in vitro model to determine mass transport of macromolecules using non-invasive UV spectroscopy. Increasing hyaluronic acid (HA) concentration from 0 to 2 mg/mL within collagen gels decreases the mass transport of five macromolecules independent of size and charge and results in a maximum decrease in recovery of 23.3% in the case of bovine immunoglobulin G (IgG). However, in a pure 10 mg/mL HA solution, negatively-charged macromolecules bovine serum albumin (BSA), β-lactoglobulin (BLg), dextran (Dex), and IgG had drastically increased recovery by 20-40% compared to their performance in ColHA matrices. This result was different from the positively-charged macromolecule Lysozyme (Lys), which, despite its small size, showed reduced recovery by 3% in pure HA. These results demonstrate two distinct regimes of mass transport within our tissue model. In the presence of both collagen and HA, increasing HA concentrations decrease mass transport; however, in the absence of collagen, the high negative charge of HA sequesters and increases residence time of positively-charged macromolecules and decreases residence time of negatively-charged macromolecules. Through our approach, ColHA hydrogels serve as a platform for the systematic evaluation of therapeutic macromolecule transport as a function of molecular characteristics.
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Affiliation(s)
- Mazin H Hakim
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA
| | - Brian H Jun
- School of Mechanical Engineering, Purdue University, West Lafayette, IN, USA
| | - Adib Ahmadzadegan
- School of Mechanical Engineering, Purdue University, West Lafayette, IN, USA
| | - Paulina M Babiak
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN, USA
| | - Qinghua Xu
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN, USA
| | - Kevin P Buno
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA
| | - Julie C Liu
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA; Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN, USA
| | - Arezoo M Ardekani
- School of Mechanical Engineering, Purdue University, West Lafayette, IN, USA
| | - Pavlos P Vlachos
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA; School of Mechanical Engineering, Purdue University, West Lafayette, IN, USA.
| | - Luis Solorio
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA; Purdue Center for Cancer Research, Purdue University, West Lafayette, IN, USA.
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2
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Pan C, Yang C, Wang S, Ma Y. Identifying Key Genes and Functionally Enriched Pathways of Diverse Adipose Tissue Types in Cattle. Front Genet 2022; 13:790690. [PMID: 35237299 PMCID: PMC8884536 DOI: 10.3389/fgene.2022.790690] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 01/26/2022] [Indexed: 12/26/2022] Open
Abstract
Background: Fat is a tissue that not just stores energy and plays a protective role; it is also a vital endocrine organ that generates and integrates signals to influence metabolism. Meanwhile, the excessive accumulation of lipids in adipose tissue can lead to metabolic disturbance and diseases. To date, the complicated molecular mechanisms of bovine adipose tissue are still unknown. This study aimed to identify key genes and functionally enriched pathways in various adipose tissue types. Results: The RNAseq data of 264 samples were downloaded from Gene Expression Omnibus (GEO) and analyzed by weighted gene co-expression network analysis (WGCNA). We identified 19 modules that significantly associated with at least one adipose tissue type. The brown module from GSE39618 was most closely associated with intramuscular fat tissue, which contained 550 genes. These genes were significantly enriched in pathways that related to inflammation and disease, such as TNF signaling pathway, IL-17 signaling pathway, and NF-kappa B signaling pathway. The pink module (GSE39618) that contained 58 genes was most closely associated with omental fat tissue. The turquoise (GSE39618), blue (GSE116775), and yellow (GSE65125) module were most closely associated with subcutaneous fat tissue. Genes in these modules were significantly enriched in pathways related to fat metabolism, such as the PPAR signaling pathway, fatty acid metabolism and PI3K-Akt signaling pathway. At last, key genes for intramuscular fat (PTGS2 and IL6), omental fat (ARHGEF5 and WT1), and subcutaneous fat (KIT, QR6Q1, PKD2L1, etc.) were obtained and verified. In addition, it was found that IL10 and VCAM1 might be potential genes to distinguish adipose and muscle. Conclusion: The study applied WGCNA to generate a landscape of adipose tissue and provide a basis for identifying potential pathways and hub genes of different adipose tissue types.
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Affiliation(s)
- Cuili Pan
- School of Agriculture, Ningxia University, Yinchuan, China
- Key Laboratory of Ruminant Molecular and Cellular Breeding, Ningxia Hui Autonomous Region, Ningxia University, Yinchuan, China
| | - Chaoyun Yang
- School of Agriculture, Ningxia University, Yinchuan, China
- Key Laboratory of Ruminant Molecular and Cellular Breeding, Ningxia Hui Autonomous Region, Ningxia University, Yinchuan, China
| | - Shuzhe Wang
- School of Agriculture, Ningxia University, Yinchuan, China
- Key Laboratory of Ruminant Molecular and Cellular Breeding, Ningxia Hui Autonomous Region, Ningxia University, Yinchuan, China
| | - Yun Ma
- School of Agriculture, Ningxia University, Yinchuan, China
- Key Laboratory of Ruminant Molecular and Cellular Breeding, Ningxia Hui Autonomous Region, Ningxia University, Yinchuan, China
- *Correspondence: Yun Ma,
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3
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Cardiovascular risk and insulin resistance in childhood leukemia survivors. NUTR HOSP 2022; 39:988-996. [DOI: 10.20960/nh.04023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
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Masood A, Benabdelkamel H, Alfadda AA. Obesity Proteomics: An Update on the Strategies and Tools Employed in the Study of Human Obesity. High Throughput 2018; 7:ht7030027. [PMID: 30213114 PMCID: PMC6164994 DOI: 10.3390/ht7030027] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Revised: 08/30/2018] [Accepted: 09/10/2018] [Indexed: 02/07/2023] Open
Abstract
Proteomics has become one of the most important disciplines for characterizing cellular protein composition, building functional linkages between protein molecules, and providing insight into the mechanisms of biological processes in a high-throughput manner. Mass spectrometry-based proteomic advances have made it possible to study human diseases, including obesity, through the identification and biochemical characterization of alterations in proteins that are associated with it and its comorbidities. A sizeable number of proteomic studies have used the combination of large-scale separation techniques, such as high-resolution two-dimensional gel electrophoresis or liquid chromatography in combination with mass spectrometry, for high-throughput protein identification. These studies have applied proteomics to comprehensive biochemical profiling and comparison studies while using different tissues and biological fluids from patients to demonstrate the physiological or pathological adaptations within their proteomes. Further investigations into these proteome-wide alterations will enable us to not only understand the disease pathophysiology, but also to determine signature proteins that can serve as biomarkers for obesity and related diseases. This review examines the different proteomic techniques used to study human obesity and discusses its successful applications along with its technical limitations.
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Affiliation(s)
- Afshan Masood
- Obesity Research Center, College of Medicine, King Saud University, P.O. Box 2925 (98), Riyadh 11461, Saudi Arabia.
| | - Hicham Benabdelkamel
- Obesity Research Center, College of Medicine, King Saud University, P.O. Box 2925 (98), Riyadh 11461, Saudi Arabia.
| | - Assim A Alfadda
- Obesity Research Center, College of Medicine, King Saud University, P.O. Box 2925 (98), Riyadh 11461, Saudi Arabia.
- Department of Medicine, College of Medicine, King Saud University, P.O. Box 2925 (38), Riyadh 11461, Saudi Arabia.
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Duran-Ortiz S, Brittain AL, Kopchick JJ. The impact of growth hormone on proteomic profiles: a review of mouse and adult human studies. Clin Proteomics 2017; 14:24. [PMID: 28670222 PMCID: PMC5492507 DOI: 10.1186/s12014-017-9160-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2017] [Accepted: 06/20/2017] [Indexed: 12/17/2022] Open
Abstract
Growth hormone (GH) is a protein that is known to stimulate postnatal growth, counter regulate insulin's action and induce expression of insulin-like growth factor-1. GH exerts anabolic or catabolic effects depending upon on the targeted tissue. For instance, GH increases skeletal muscle and decreases adipose tissue mass. Our laboratory has spent the past two decades studying these effects, including the effects of GH excess and depletion, on the proteome of several mouse and human tissues. This review first discusses proteomic techniques that are commonly used for these types of studies. We then examine the proteomic differences found in mice with excess circulating GH (bGH mice) or mice with disruption of the GH receptor gene (GHR-/-). We also describe the effects of increased and decreased GH action on the proteome of adult patients with either acromegaly, GH deficiency or patients after short-term GH treatment. Finally, we explain how these proteomic studies resulted in the discovery of potential biomarkers for GH action, particularly those related with the effects of GH on aging, glucose metabolism and body composition.
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Affiliation(s)
- Silvana Duran-Ortiz
- Edison Biotechnology Institute, Ohio University, Athens, OH USA.,Department of Biological Sciences, College of Arts and Sciences, Ohio University, Athens, OH USA.,Molecular and Cellular Biology Program, Ohio University, Athens, OH USA
| | - Alison L Brittain
- Edison Biotechnology Institute, Ohio University, Athens, OH USA.,Department of Biological Sciences, College of Arts and Sciences, Ohio University, Athens, OH USA.,Molecular and Cellular Biology Program, Ohio University, Athens, OH USA.,Department of Biomedical Sciences, Heritage College of Osteopathic Medicine, Ohio University, Athens, OH 45701 USA
| | - John J Kopchick
- Edison Biotechnology Institute, Ohio University, Athens, OH USA.,Molecular and Cellular Biology Program, Ohio University, Athens, OH USA.,Department of Biomedical Sciences, Heritage College of Osteopathic Medicine, Ohio University, Athens, OH 45701 USA
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Troike KM, Henry BE, Jensen EA, Young JA, List EO, Kopchick JJ, Berryman DE. Impact of Growth Hormone on Regulation of Adipose Tissue. Compr Physiol 2017. [PMID: 28640444 DOI: 10.1002/cphy.c160027] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Increasing prevalence of obesity and obesity-related conditions worldwide has necessitated a more thorough understanding of adipose tissue (AT) and expanded the scope of research in this field. AT is now understood to be far more complex and dynamic than previously thought, which has also fueled research to reevaluate how hormones, such as growth hormone (GH), alter the tissue. In this review, we will introduce properties of AT important for understanding how GH alters the tissue, such as anatomical location of depots and adipokine output. We will provide an overview of GH structure and function and define several human conditions and cognate mouse lines with extremes in GH action that have helped shape our understanding of GH and AT. A detailed discussion of the GH/AT relationship will be included that addresses adipokine production, immune cell populations, lipid metabolism, senescence, differentiation, and fibrosis, as well as brown AT and beiging of white AT. A brief overview of how GH levels are altered in an obese state, and the efficacy of GH as a therapeutic option to manage obesity will be given. As we will reveal, the effects of GH on AT are numerous, dynamic and depot-dependent. © 2017 American Physiological Society. Compr Physiol 7:819-840, 2017.
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Affiliation(s)
- Katie M Troike
- The Diabetes Institute at Ohio University, 108 Konneker Research Labs, Ohio University, Athens, Ohio, USA.,School of Applied Health Sciences and Wellness, College of Health Sciences and Professions, Ohio University, Athens, Ohio, USA
| | - Brooke E Henry
- The Diabetes Institute at Ohio University, 108 Konneker Research Labs, Ohio University, Athens, Ohio, USA.,School of Applied Health Sciences and Wellness, College of Health Sciences and Professions, Ohio University, Athens, Ohio, USA
| | - Elizabeth A Jensen
- Department of Biomedical Sciences, Heritage College of Osteopathic Medicine, Ohio University, Athens, Ohio, USA.,Edison Biotechnology Institute, Konneker Research Labs, Ohio University, Athens, Ohio, USA
| | - Jonathan A Young
- Department of Biological Sciences, College of Arts and Sciences, Ohio University, Athens, Ohio, USA.,Edison Biotechnology Institute, Konneker Research Labs, Ohio University, Athens, Ohio, USA
| | - Edward O List
- The Diabetes Institute at Ohio University, 108 Konneker Research Labs, Ohio University, Athens, Ohio, USA.,Edison Biotechnology Institute, Konneker Research Labs, Ohio University, Athens, Ohio, USA
| | - John J Kopchick
- The Diabetes Institute at Ohio University, 108 Konneker Research Labs, Ohio University, Athens, Ohio, USA.,Department of Biomedical Sciences, Heritage College of Osteopathic Medicine, Ohio University, Athens, Ohio, USA.,Edison Biotechnology Institute, Konneker Research Labs, Ohio University, Athens, Ohio, USA
| | - Darlene E Berryman
- The Diabetes Institute at Ohio University, 108 Konneker Research Labs, Ohio University, Athens, Ohio, USA.,Department of Biomedical Sciences, Heritage College of Osteopathic Medicine, Ohio University, Athens, Ohio, USA
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López-Villar E, Martos-Moreno GÁ, Chowen JA, Okada S, Kopchick JJ, Argente J. A proteomic approach to obesity and type 2 diabetes. J Cell Mol Med 2015; 19:1455-70. [PMID: 25960181 PMCID: PMC4511345 DOI: 10.1111/jcmm.12600] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2015] [Accepted: 04/02/2015] [Indexed: 12/13/2022] Open
Abstract
The incidence of obesity and type diabetes 2 has increased dramatically resulting in an increased interest in its biomedical relevance. However, the mechanisms that trigger the development of diabetes type 2 in obese patients remain largely unknown. Scientific, clinical and pharmaceutical communities are dedicating vast resources to unravel this issue by applying different omics tools. During the last decade, the advances in proteomic approaches and the Human Proteome Organization have opened and are opening a new door that may be helpful in the identification of patients at risk and to improve current therapies. Here, we briefly review some of the advances in our understanding of type 2 diabetes that have occurred through the application of proteomics. We also review, in detail, the current improvements in proteomic methodologies and new strategies that could be employed to further advance our understanding of this pathology. By applying these new proteomic advances, novel therapeutic and/or diagnostic protein targets will be discovered in the obesity/Type 2 diabetes area.
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Affiliation(s)
- Elena López-Villar
- Departments of Endocrinology and Pediatrics, Hospital Infantil Universitario Niño Jesús, Universidad Autónoma de Madrid, Madrid, Spain.,Oncohematology and Pediatrics, Hospital Infantil Universitario Niño Jesús, Madrid, Spain
| | - Gabriel Á Martos-Moreno
- Departments of Endocrinology and Pediatrics, Hospital Infantil Universitario Niño Jesús, Universidad Autónoma de Madrid, Madrid, Spain.,Instituto de Investigación La Princesa, Madrid, Spain.,Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Julie A Chowen
- Departments of Endocrinology and Pediatrics, Hospital Infantil Universitario Niño Jesús, Universidad Autónoma de Madrid, Madrid, Spain.,Instituto de Investigación La Princesa, Madrid, Spain.,Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Shigeru Okada
- Edison Biotechnology Institute, Ohio University, Konneker Research Laboratories, Athens, OH, USA.,Department of Pediatrics, Heritage College of Osteopathic Medicine, Ohio University, Athens, OH, USA
| | - John J Kopchick
- Edison Biotechnology Institute, Ohio University, Konneker Research Laboratories, Athens, OH, USA.,Molecular and Cellular Biology Program, Ohio University, Athens, OH, USA.,Department of Biomedical Sciences, Heritage College of Osteopathic Medicine, Ohio University, Athens, OH, USA
| | - Jesús Argente
- Departments of Endocrinology and Pediatrics, Hospital Infantil Universitario Niño Jesús, Universidad Autónoma de Madrid, Madrid, Spain.,Instituto de Investigación La Princesa, Madrid, Spain.,Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
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Proteomic analysis allows for early detection of potential markers of metabolic impairment in very young obese children. INTERNATIONAL JOURNAL OF PEDIATRIC ENDOCRINOLOGY 2014; 2014:9. [PMID: 24949022 PMCID: PMC4063220 DOI: 10.1186/1687-9856-2014-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/03/2014] [Accepted: 06/04/2014] [Indexed: 12/22/2022]
Abstract
Background Early diagnosis of initial metabolic derangements in young obese children could influence their management; however, this impairment is frequently not overt, but subtle and undetectable by routinely used clinical assays. Our aim was to evaluate the ability of serum proteomic analysis to detect these incipient metabolic alterations in comparison to standard clinical methods and to identify new candidate biomarkers. Methods A cross-sectional study of fasting serum samples from twenty-two prepubertal, Caucasian obese (OB; 9.22 ± 1.93 years; 3.43 ± 1.08 BMI-SDS) and twenty-one lean controls (C; 8.50 ± 1.98 years; -0.48 ± 0.81 BMI-SDS) and a prospective study of fasting serum samples from twenty prepubertal, Caucasian obese children (11 insulin resistant [IR]) before (4.77 ± 1.30 BMI-SDS) and after weight reduction (2.57 ± 1.29 BMI-SDS) by conservative treatment in a reference hospital (Pros-OB) was performed. Proteomic analysis (two-dimension-eletrophoresis + mass spectrometry analysis) of serum and comparative evaluation of the sensitivity of routinely used assays in the clinics to detect the observed differences in protein expression level, as well as their relationship with anthropometric features, insulin resistance indexes, lipid profile and adipokine levels were carried out. Results Study of the intensity data from proteomic analysis showed a decrease of several isoforms of apolipoprotein-A1, apo-J/clusterin, vitamin D binding protein, transthyretin in OBvs. C, with some changes in these proteins being enhanced by IR and partially reversed after weight loss. Expression of low molecular weight isoforms of haptoglobin was increased in OB, enhanced in IR and again decreased after weight loss, being positively correlated with serum interleukin-6 and NAMPT/visfatin levels. After statistical correction for multiple comparisons, significance remained for a single isoform of low MW haptoglobin (OB vs. C and IR vs. non-IR) and Apo A1 (IR vs. non-IR). Assays routinely used in the clinical setting (ELISA/kinetic nephelometry), only partially confirmed the changes observed by proteomic analysis (ApoA1 and haptoglobin). Conclusion Proteomic analysis can allow for the identification of potential new candidate biomarkers as a complement to routinely used assays to detect initial changes in serum markers of inflammation and lipid metabolism impairment in young obese children.
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Jara A, Kopchick J. Proteómica: una aproximación integral. An Pediatr (Barc) 2013; 78:137-9. [DOI: 10.1016/j.anpedi.2012.10.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2012] [Accepted: 10/11/2012] [Indexed: 12/26/2022] Open
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