Mitochondria Are Transported Along Microtubules in Membrane
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A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Drp1 Overexpression Induces Desmin Disassembling and Drives Kinesin-1 Activation Promoting Mitochondrial Trafficking in Skeletal Muscle
Cell Death & Differentiation (2020) 27:2383–2401 https://doi.org/10.1038/s41418-020-0510-7 ARTICLE Drp1 overexpression induces desmin disassembling and drives kinesin-1 activation promoting mitochondrial trafficking in skeletal muscle 1 1 2 2 2 3 Matteo Giovarelli ● Silvia Zecchini ● Emanuele Martini ● Massimiliano Garrè ● Sara Barozzi ● Michela Ripolone ● 3 1 4 1 5 Laura Napoli ● Marco Coazzoli ● Chiara Vantaggiato ● Paulina Roux-Biejat ● Davide Cervia ● 1 1 2 1,4 6 Claudia Moscheni ● Cristiana Perrotta ● Dario Parazzoli ● Emilio Clementi ● Clara De Palma Received: 1 August 2019 / Revised: 13 December 2019 / Accepted: 23 January 2020 / Published online: 10 February 2020 © The Author(s) 2020. This article is published with open access Abstract Mitochondria change distribution across cells following a variety of pathophysiological stimuli. The mechanisms presiding over this redistribution are yet undefined. In a murine model overexpressing Drp1 specifically in skeletal muscle, we find marked mitochondria repositioning in muscle fibres and we demonstrate that Drp1 is involved in this process. Drp1 binds KLC1 and enhances microtubule-dependent transport of mitochondria. Drp1-KLC1 coupling triggers the displacement of KIF5B from 1234567890();,: 1234567890();,: kinesin-1 complex increasing its binding to microtubule tracks and mitochondrial transport. High levels of Drp1 exacerbate this mechanism leading to the repositioning of mitochondria closer to nuclei. The reduction of Drp1 levels decreases kinesin-1 activation and induces the partial recovery of mitochondrial distribution. Drp1 overexpression is also associated with higher cyclin-dependent kinase-1 (Cdk-1) activation that promotes the persistent phosphorylation of desmin at Ser-31 and its disassembling. Fission inhibition has a positive effect on desmin Ser-31 phosphorylation, regardless of Cdk-1 activation, suggesting that induction of both fission and Cdk-1 are required for desmin collapse. -
Profilin-1 Is Required for Survival of Adult Hematopoietic Stem Cells
Extended methods Immunohistochemistry HepG-2, SMMC-7721, and 293T cells were obtained from Cell Resource Center of Shanghai Institute for Biological Science, Chinese Academy Science, Shanghai, China. HUVEC cells were kindly provided by Prof. Ping-Jin Gao at Institute of Health Sciences (Shanghai, China). All these cell lines were cultured in DMEM with 10% FBS. MDA- MB-231 cell line was kindly provided by Prof. Ming-Yao Liu (East China Normal University, Shanghai, China) and was cultured in Leibovitz L-15 medium with 10% FBS. All these cell lines were originally purchased from ATCC. MDA-MB-231, SMMC-7721 or HepG2 cells were grown on coverslips in 24-well plates and fixed in either 4% paraformaldehyde or pre-chilled methanol (-20°C) for 10 min. In some cases, WT or VPS33B-null Lin-Sca-1+c-Kit+Flk2-CD34- LT-HSCs were collected by flow cytometry and fixed for immunofluorescence staining. Cells were then blocked with 3% BSA in PBS for 60 min followed by incubation with primary antibodies overnight. The antibodies used were anti-HA (Sigma), anti-Flag (Sigma), anti-VPS33B (Sigma), anti- VPS16B (Abcam), anti-GDI2 (Proteintech), anti-LAMP1 (Proteintech), anti-FLOT1 (Abways), anti-CD63 (Proteintech), anti-ANGPTL2 (R&D system), anti-ANGPTL3 (R&D system), anti-TPO (Abways), anti-GLUT1 (Proteintech), anti-LDHA (Proteintech), anti-PKM2 (CST), anti-RAB11A (Abways), anti-RAB27A (Abways) and anti-V5 (Biodragon). Fluorescent-conjugated secondary antibodies (Alexa Fluor® 488 or Alexa Fluor® 555) against mouse, rabbit, or goat were obtained from the Thermo Scientific Inc. The details for all the antibodies are listed in Table S3. -
RET Gene Fusions in Malignancies of the Thyroid and Other Tissues
G C A T T A C G G C A T genes Review RET Gene Fusions in Malignancies of the Thyroid and Other Tissues Massimo Santoro 1,*, Marialuisa Moccia 1, Giorgia Federico 1 and Francesca Carlomagno 1,2 1 Department of Molecular Medicine and Medical Biotechnology, University of Naples “Federico II”, 80131 Naples, Italy; [email protected] (M.M.); [email protected] (G.F.); [email protected] (F.C.) 2 Institute of Endocrinology and Experimental Oncology of the CNR, 80131 Naples, Italy * Correspondence: [email protected] Received: 10 March 2020; Accepted: 12 April 2020; Published: 15 April 2020 Abstract: Following the identification of the BCR-ABL1 (Breakpoint Cluster Region-ABelson murine Leukemia) fusion in chronic myelogenous leukemia, gene fusions generating chimeric oncoproteins have been recognized as common genomic structural variations in human malignancies. This is, in particular, a frequent mechanism in the oncogenic conversion of protein kinases. Gene fusion was the first mechanism identified for the oncogenic activation of the receptor tyrosine kinase RET (REarranged during Transfection), initially discovered in papillary thyroid carcinoma (PTC). More recently, the advent of highly sensitive massive parallel (next generation sequencing, NGS) sequencing of tumor DNA or cell-free (cfDNA) circulating tumor DNA, allowed for the detection of RET fusions in many other solid and hematopoietic malignancies. This review summarizes the role of RET fusions in the pathogenesis of human cancer. Keywords: kinase; tyrosine kinase inhibitor; targeted therapy; thyroid cancer 1. The RET Receptor RET (REarranged during Transfection) was initially isolated as a rearranged oncoprotein upon the transfection of a human lymphoma DNA [1]. -
RET Aberrations in Diverse Cancers: Next-Generation Sequencing of 4,871 Patients Shumei Kato1, Vivek Subbiah2, Erica Marchlik3, Sheryl K
Published OnlineFirst September 28, 2016; DOI: 10.1158/1078-0432.CCR-16-1679 Personalized Medicine and Imaging Clinical Cancer Research RET Aberrations in Diverse Cancers: Next-Generation Sequencing of 4,871 Patients Shumei Kato1, Vivek Subbiah2, Erica Marchlik3, Sheryl K. Elkin3, Jennifer L. Carter3, and Razelle Kurzrock1 Abstract Purpose: Aberrations in genetic sequences encoding the tyrosine (52/88)], cell cycle–associated genes [39.8% (35/88)], the PI3K kinase receptor RET lead to oncogenic signaling that is targetable signaling pathway [30.7% (27/88)], MAPK effectors [22.7% with anti-RET multikinase inhibitors. Understanding the compre- (20/88)], or other tyrosine kinase families [21.6% (19/88)]. hensive genomic landscape of RET aberrations across multiple RET fusions were mutually exclusive with MAPK signaling cancers may facilitate clinical trial development targeting RET. pathway alterations. All 72 patients harboring coaberrations Experimental Design: We interrogated the molecular portfolio had distinct genomic portfolios, and most [98.6% (71/72)] of 4,871 patients with diverse malignancies for the presence of had potentially targetable coaberrations with either an FDA- RET aberrations using Clinical Laboratory Improvement Amend- approved or an investigational agent. Two cases with lung ments–certified targeted next-generation sequencing of 182 or (KIF5B-RET) and medullary thyroid carcinoma (RET M918T) 236 gene panels. thatrespondedtoavandetanib(multikinase RET inhibitor)- Results: Among diverse cancers, RET aberrations were iden- containing regimen are shown. tified in 88 cases [1.8% (88/4, 871)], with mutations being Conclusions: RET aberrations were seen in 1.8% of diverse the most common alteration [38.6% (34/88)], followed cancers, with most cases harboring actionable, albeit dis- by fusions [30.7% (27/88), including a novel SQSTM1-RET] tinct, coexisting alterations. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Transcriptomic and Proteomic Profiling Provides Insight Into
BASIC RESEARCH www.jasn.org Transcriptomic and Proteomic Profiling Provides Insight into Mesangial Cell Function in IgA Nephropathy † † ‡ Peidi Liu,* Emelie Lassén,* Viji Nair, Celine C. Berthier, Miyuki Suguro, Carina Sihlbom,§ † | † Matthias Kretzler, Christer Betsholtz, ¶ Börje Haraldsson,* Wenjun Ju, Kerstin Ebefors,* and Jenny Nyström* *Department of Physiology, Institute of Neuroscience and Physiology, §Proteomics Core Facility at University of Gothenburg, University of Gothenburg, Gothenburg, Sweden; †Division of Nephrology, Department of Internal Medicine and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan; ‡Division of Molecular Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan; |Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden; and ¶Integrated Cardio Metabolic Centre, Karolinska Institutet Novum, Huddinge, Sweden ABSTRACT IgA nephropathy (IgAN), the most common GN worldwide, is characterized by circulating galactose-deficient IgA (gd-IgA) that forms immune complexes. The immune complexes are deposited in the glomerular mesangium, leading to inflammation and loss of renal function, but the complete pathophysiology of the disease is not understood. Using an integrated global transcriptomic and proteomic profiling approach, we investigated the role of the mesangium in the onset and progression of IgAN. Global gene expression was investigated by microarray analysis of the glomerular compartment of renal biopsy specimens from patients with IgAN (n=19) and controls (n=22). Using curated glomerular cell type–specific genes from the published literature, we found differential expression of a much higher percentage of mesangial cell–positive standard genes than podocyte-positive standard genes in IgAN. Principal coordinate analysis of expression data revealed clear separation of patient and control samples on the basis of mesangial but not podocyte cell–positive standard genes. -
Supplementary Table 1 Genes Tested in Qrt-PCR in Nfpas
Supplementary Table 1 Genes tested in qRT-PCR in NFPAs Gene Bank accession Gene Description number ABI assay ID a disintegrin-like and metalloprotease with thrombospondin type 1 motif 7 ADAMTS7 NM_014272.3 Hs00276223_m1 Rho guanine nucleotide exchange factor (GEF) 3 ARHGEF3 NM_019555.1 Hs00219609_m1 BCL2-associated X protein BAX NM_004324 House design Bcl-2 binding component 3 BBC3 NM_014417.2 Hs00248075_m1 B-cell CLL/lymphoma 2 BCL2 NM_000633 House design Bone morphogenetic protein 7 BMP7 NM_001719.1 Hs00233476_m1 CCAAT/enhancer binding protein (C/EBP), alpha CEBPA NM_004364.2 Hs00269972_s1 coxsackie virus and adenovirus receptor CXADR NM_001338.3 Hs00154661_m1 Homo sapiens Dicer1, Dcr-1 homolog (Drosophila) (DICER1) DICER1 NM_177438.1 Hs00229023_m1 Homo sapiens dystonin DST NM_015548.2 Hs00156137_m1 fms-related tyrosine kinase 3 FLT3 NM_004119.1 Hs00174690_m1 glutamate receptor, ionotropic, N-methyl D-aspartate 1 GRIN1 NM_000832.4 Hs00609557_m1 high-mobility group box 1 HMGB1 NM_002128.3 Hs01923466_g1 heterogeneous nuclear ribonucleoprotein U HNRPU NM_004501.3 Hs00244919_m1 insulin-like growth factor binding protein 5 IGFBP5 NM_000599.2 Hs00181213_m1 latent transforming growth factor beta binding protein 4 LTBP4 NM_001042544.1 Hs00186025_m1 microtubule-associated protein 1 light chain 3 beta MAP1LC3B NM_022818.3 Hs00797944_s1 matrix metallopeptidase 17 MMP17 NM_016155.4 Hs01108847_m1 myosin VA MYO5A NM_000259.1 Hs00165309_m1 Homo sapiens nuclear factor (erythroid-derived 2)-like 1 NFE2L1 NM_003204.1 Hs00231457_m1 oxoglutarate (alpha-ketoglutarate) -
The Universal Mechanism of Intermediate Filament Transport
bioRxiv preprint doi: https://doi.org/10.1101/251405; this version posted January 22, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. 1 The universal mechanism of intermediate filament transport. 2 3 Amélie Robert1, Peirun Tian1, Stephen A. Adam1, Robert D. Goldman1 and Vladimir I. Gelfand1* 4 5 1Department of Cell and Molecular Biology, Feinberg School of Medicine, Northwestern 6 University, Chicago, IL 60611, USA. 7 8 *Corresponding author. 9 Address: Department of Cell and Molecular Biology, Feinberg School of Medicine, 10 Northwestern University, 303 E. Chicago Ave. Ward 11-100, Chicago, IL 60611-3008 11 E-mail address: [email protected] 12 Phone: (312) 503-0530 13 Fax: (312) 503-7912 14 15 1 bioRxiv preprint doi: https://doi.org/10.1101/251405; this version posted January 22, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. 16 ABSTRACT 17 Intermediate filaments (IFs) are a major component of the cytoskeleton that regulates a wide 18 range of physiological properties in eukaryotic cells. In motile cells, the IF network has to adapt 19 to constant changes of cell shape and tension. In this study, we used two cell lines that express 20 vimentin and keratins 8/18 to study the dynamic behavior of these IFs. -
Drosophila and Human Transcriptomic Data Mining Provides Evidence for Therapeutic
Drosophila and human transcriptomic data mining provides evidence for therapeutic mechanism of pentylenetetrazole in Down syndrome Author Abhay Sharma Institute of Genomics and Integrative Biology Council of Scientific and Industrial Research Delhi University Campus, Mall Road Delhi 110007, India Tel: +91-11-27666156, Fax: +91-11-27662407 Email: [email protected] Nature Precedings : hdl:10101/npre.2010.4330.1 Posted 5 Apr 2010 Running head: Pentylenetetrazole mechanism in Down syndrome 1 Abstract Pentylenetetrazole (PTZ) has recently been found to ameliorate cognitive impairment in rodent models of Down syndrome (DS). The mechanism underlying PTZ’s therapeutic effect is however not clear. Microarray profiling has previously reported differential expression of genes in DS. No mammalian transcriptomic data on PTZ treatment however exists. Nevertheless, a Drosophila model inspired by rodent models of PTZ induced kindling plasticity has recently been described. Microarray profiling has shown PTZ’s downregulatory effect on gene expression in fly heads. In a comparative transcriptomics approach, I have analyzed the available microarray data in order to identify potential mechanism of PTZ action in DS. I find that transcriptomic correlates of chronic PTZ in Drosophila and DS counteract each other. A significant enrichment is observed between PTZ downregulated and DS upregulated genes, and a significant depletion between PTZ downregulated and DS dowwnregulated genes. Further, the common genes in PTZ Nature Precedings : hdl:10101/npre.2010.4330.1 Posted 5 Apr 2010 downregulated and DS upregulated sets show enrichment for MAP kinase pathway. My analysis suggests that downregulation of MAP kinase pathway may mediate therapeutic effect of PTZ in DS. Existing evidence implicating MAP kinase pathway in DS supports this observation. -
Activation of Conventional Kinesin Motors in Clusters by Shaw Voltage
Research Article 2027 Activation of conventional kinesin motors in clusters by Shaw voltage-gated K+ channels Joshua Barry1, Mingxuan Xu2,*, Yuanzheng Gu2, Andrew W. Dangel3, Peter Jukkola4, Chandra Shrestha2,` and Chen Gu1,2,4,§ 1Molecular, Cellular and Developmental Biology Graduate Program, The Ohio State University, Columbus, OH 43210, USA 2Department of Neuroscience, The Ohio State University, Columbus, OH 43210, USA 3Plant-Microbe Genomics Facility, The Ohio State University, Columbus, OH 43210, USA 4Integrated Biomedical Graduate Program, The Ohio State University, Columbus, OH 43210, USA *Present address: Department of Neurology, Baylor College of Medicine, Houston, TX 77030, USA `Present address: Department of Biomedical Sciences and Pathobiology, College of Veterinary Medicine, Virginia Tech University, Blacksburg, VA 24061, USA §Author for correspondence ([email protected]) Accepted 19 February 2013 Journal of Cell Science 126, 2027–2041 ß 2013. Published by The Company of Biologists Ltd doi: 10.1242/jcs.122234 Summary The conventional kinesin motor transports many different cargos to specific locations in neurons. How cargos regulate motor function remains unclear. Here we focus on KIF5, the heavy chain of conventional kinesin, and report that the Kv3 (Shaw) voltage-gated K+ channel, the only known tetrameric KIF5-binding protein, clusters and activates KIF5 motors during axonal transport. Endogenous KIF5 often forms clusters along axons, suggesting a potential role of KIF5-binding proteins. Our biochemical assays reveal that the high- affinity multimeric binding between the Kv3.1 T1 domain and KIF5B requires three basic residues in the KIF5B tail. Kv3.1 T1 competes with the motor domain and microtubules, but not with kinesin light chain 1 (KLC1), for binding to the KIF5B tail. -
Treadmill Training Modifies KIF5B Motor Protein in the STZ-Induced Diabetic Rat Spinal Cord and Sciatic Nerve
7UDLQLQJDQG$[RQDO0RWRU3URWHLQLQ'LDEHWHV Original Article 7UHDGPLOO7UDLQLQJ0RGL¿HV.,)%0RWRU3URWHLQLQWKH STZ-induced Diabetic Rat Spinal Cord and Sciatic Nerve Masoud Rahmati PhD15H]D*KDUDNKDQORX3K'2, Mansoureh Movahedin PhD3, Seyed Javad Mowla PhD4, Ali Khazani PhD5, Mary- am Fouladvand MSc6, Shiva Jahani Golbar MSc7 Abstract Background:3UHYLRXVUHVHDUFKKDVGHPRQVWUDWHGGLDEHWLFLQGXFHGD[RQDOWUDQVSRUWGH¿FLWV+RZHYHUWKHPHFKDQLVPRID[RQDOWUDQV- SRUWLPSDLUPHQWLQGXFHGE\GLDEHWHVLVSRRUO\XQGHUVWRRG.LQHVLQPRWRUSURWHLQVKDYHEHHQVKRZQWRWUDQVSRUWYDULRXVFDUJRVDORQJKLJKO\ SRODUL]HGQHXURQV,QWKHSUHVHQWVWXG\ZHLQYHVWLJDWHGWKHHIIHFWRIUHJXODUWUHDGPLOOH[HUFLVHRQ.,)%DQG6XQGD\'ULYHU 6<' P51$ OHYHOVLQVHQVRU\DQGPRWRUSDUWVRIVSLQDOFRUGDQG.,)%FRQWHQWLQVFLDWLFQHUYHVRIVWUHSWR]RWRFLQ 67= LQGXFHGGLDEHWLFUDWV Methods: Forty male Wistar rats were divided into four groups: (1) diabetic trained (DT: n = 10); (2) Non-trained diabetic (NTD: n = 10); (3) QRUPDOFRQWURO 1&Q DQG QRUPDOWUDLQHG 17Q 7ZRZHHNVDIWHU67=LQMHFWLRQ PJNJLS WKHUDWVZHUHVXEMHFWHGWR WUHDGPLOOH[HUFLVHIRUGD\VDZHHNRYHUZHHNV:HGHWHUPLQHGP51$OHYHOVDQGSURWHLQFRQWHQWE\5HDOWLPH3&5DQG(/,6$ Results:([HUFLVHWUDLQLQJGHFUHDVHGEORRGJOXFRVHOHYHOVLQWKH'7UDWV'LDEHWHVLQFUHDVHGWKH.,)%DQG6<'P51$LQERWKVHQVRU\ DQGPRWRUSDUWVDQG.,)%FRQWHQWLQVFLDWLFQHUYHVLQWKH17'0RUHRYHUH[HUFLVHWUDLQLQJPRGXODWHGWKH.,)%DQG6<'P51$DQG .,)%FRQWHQWWRQRUPDOOHYHOVLQWKH'7([HUFLVHWUDLQLQJLQ17UDWVLQFUHDVHG.,)%DQG6<'P51$LQVHQVRU\DQGPRWRUSDUWVDQG .,)%FRQWHQWLQVFLDWLFQHUYHV Conclusions:2XUUHVXOWVVXJJHVWWKDWGLDEHWHVVHHPVWRFKDQJHVSLQDOFRUG.,)%DQG6<'P51$DQGVFLDWLFQHUYHV.,)%FRQWHQWDQG