TY - JOUR
T1 - Assessing statin effects on cardiovascular pathways in HIV using a novel proteomics approach
T2 - Analysis of data from INTREPID, a randomized controlled trial
AU - Toribio, Mabel
AU - Fitch, Kathleen V.
AU - Stone, Lauren
AU - Zanni, Markella V.
AU - Lo, Janet
AU - de Filippi, Chris
AU - Sponseller, Craig A.
AU - Lee, Hang
AU - Grundberg, Ida
AU - Thompson, Melanie A.
AU - Aberg, Judith A.
AU - Grinspoon, Steven K.
N1 - Funding Information:
MVZ has participated in a scientific advisory board meeting for Roche Diagnostics and has received investigator-initiated research funding to her institution from Gilead, unrelated to the present manuscript. JL has served as served as a consultant for Gilead Sciences and Viiv Healthcare, both unrelated to the manuscript. CD unrelated to this manuscript receives research funding from Roche Diagnostics, has consulted for Abbott Diagnostics, FujiRebio, Metanomics, Ortho Diagnostics and Siemens Healthcare, received royalties from UpToDate. CAS is an employee of KOWA Pharmaceuticals America, Inc. IG is an employee of Olink Proteomics. MAT has received research support to her institution from KOWA Pharmaceuticals to conduct the parent study. She has received unrelated research support to her institution from Bristol Myers Squibb, CytoDyn Inc., Gilead Sciences, GlaxoSmithKline, Merck Sharp Dohme, Roche Laboratories, Taimed Inc., and ViiV Healthcare. JAA received grants from KOWA Pharmaceuticals to conduct the parent study; she also received grants from Gilead Sciences and Glaxo-Smith-Kline/ViiV Healthcare, and received scientific advisory board personal fees from Gilead, Janssen, Merck, and Glaxo-Smith-Kline/ViiV Healthcare, all unrelated to the present study. SKG has received research support to his institution from KOWA Pharmaceuticals. Unrelated to this manuscript he has consulted for Theratechnologies, Gilead and Navidea and received research support from Gilead and Theratechnologies. MT, KVF, LS, and HL have no disclosures to report.
Funding Information:
This work was supported by an investigator-initiated grant to S.K.G. from KOWA Pharmaceuticals America, Inc. and the National Institutes of Health [P30 DK040561; Nutrition Obesity Research Center at Harvard]. M.T. was support by National Institutes of Health [5KL2TR001100-05; Harvard Catalyst KL2 grant].
Publisher Copyright:
© 2018 The Authors
PY - 2018/9
Y1 - 2018/9
N2 - Background: People with HIV (PWH) demonstrate increased cardiovascular disease (CVD), due in part to increased immune activation, inflammation, and endothelial dysfunction. Methods: In a randomized trial (INTREPID), 252 HIV-infected participants with dyslipidemia and no history of coronary artery disease were randomized (1:1) to pitavastatin 4 mg vs. pravastatin 40 mg for 52 weeks. Using a proteomic discovery approach, 92 proteins biomarkers were assessed using Proximity Extension Assay technology to determine the effects of statins on key atherosclerosis and CVD pathways among PWH. 225 participants had specimens available for biomarker analysis pre- and post-baseline. Findings: The mean age was 49.5 ± 8.0 (mean ± SD), LDL-C 155 ± 25 mg/dl and CD4 count 620 ± 243 cell/mm3. Among all participants, three proteins significantly decreased: tissue factor pathway inhibitor [TFPI; t-statistic = −6.38, FDR p-value<0.0001], paraoxonase 3 [PON3; t-statistic = −4.64, FDR p-value = 0.0003], and LDL-receptor [LDLR; t-statistic = −4.45, FDR p-value = 0.0004]; and two proteins significantly increased galectin-4 [Gal-4; t-statistic = 3.50, FDR p-value = 0.01] and insulin-like growth factor binding protein 2 [IGFBP-2; t-statistic = 3.21, FDR p-value = 0.03]. The change in TFPI was significantly different between the pitavastatin and pravastatin groups. Among all participants, change in TFPI related to the change in LDL-C (r = 0.43, P < 0.0001) and change in Lp-PLA2 (r = 0.29, P < 0.0001). Interpretation: Using a proteomics approach, we demonstrated that statins led to a significant reduction in the levels of TFPI, PON3, and LDLR and an increase in Gal-4 and IGFBP-2, key proteins involved in coagulation, redox signaling, oxidative stress, and glucose metabolism. Pitavastatin led to a greater reduction in TFPI than pravastatin. These data highlight potential novel mechanisms of statin effects among PWH. Fund: This work was supported by an investigator-initiated grant to S.K.G. from KOWA Pharmaceuticals America, Inc. and the National Institutes of Health [P30 DK040561; Nutrition Obesity Research Center at Harvard]. M.T. was support by National Institutes of Health [5KL2TR001100-05; Harvard Catalyst KL2 grant].
AB - Background: People with HIV (PWH) demonstrate increased cardiovascular disease (CVD), due in part to increased immune activation, inflammation, and endothelial dysfunction. Methods: In a randomized trial (INTREPID), 252 HIV-infected participants with dyslipidemia and no history of coronary artery disease were randomized (1:1) to pitavastatin 4 mg vs. pravastatin 40 mg for 52 weeks. Using a proteomic discovery approach, 92 proteins biomarkers were assessed using Proximity Extension Assay technology to determine the effects of statins on key atherosclerosis and CVD pathways among PWH. 225 participants had specimens available for biomarker analysis pre- and post-baseline. Findings: The mean age was 49.5 ± 8.0 (mean ± SD), LDL-C 155 ± 25 mg/dl and CD4 count 620 ± 243 cell/mm3. Among all participants, three proteins significantly decreased: tissue factor pathway inhibitor [TFPI; t-statistic = −6.38, FDR p-value<0.0001], paraoxonase 3 [PON3; t-statistic = −4.64, FDR p-value = 0.0003], and LDL-receptor [LDLR; t-statistic = −4.45, FDR p-value = 0.0004]; and two proteins significantly increased galectin-4 [Gal-4; t-statistic = 3.50, FDR p-value = 0.01] and insulin-like growth factor binding protein 2 [IGFBP-2; t-statistic = 3.21, FDR p-value = 0.03]. The change in TFPI was significantly different between the pitavastatin and pravastatin groups. Among all participants, change in TFPI related to the change in LDL-C (r = 0.43, P < 0.0001) and change in Lp-PLA2 (r = 0.29, P < 0.0001). Interpretation: Using a proteomics approach, we demonstrated that statins led to a significant reduction in the levels of TFPI, PON3, and LDLR and an increase in Gal-4 and IGFBP-2, key proteins involved in coagulation, redox signaling, oxidative stress, and glucose metabolism. Pitavastatin led to a greater reduction in TFPI than pravastatin. These data highlight potential novel mechanisms of statin effects among PWH. Fund: This work was supported by an investigator-initiated grant to S.K.G. from KOWA Pharmaceuticals America, Inc. and the National Institutes of Health [P30 DK040561; Nutrition Obesity Research Center at Harvard]. M.T. was support by National Institutes of Health [5KL2TR001100-05; Harvard Catalyst KL2 grant].
KW - Atherosclerosis
KW - Cardiovascular disease
KW - HIV
KW - Proteomics
KW - Statin
UR - http://www.scopus.com/inward/record.url?scp=85052635016&partnerID=8YFLogxK
U2 - 10.1016/j.ebiom.2018.08.039
DO - 10.1016/j.ebiom.2018.08.039
M3 - Article
C2 - 30174281
AN - SCOPUS:85052635016
VL - 35
SP - 58
EP - 66
JO - eBioMedicine
JF - eBioMedicine
SN - 2352-3964
ER -