- Sabin C.A.
- Worm S.W.
- Weber R.
- Reiss P.
- El-Sadr W.
- Dabis F.
- De Wit S.
- Law M.
- D'Arminio Monforte A.
- Friis-Moller N.
- Kritz H.
- Efthimiou Y.
- Stamatopoulos J.
- Najemnik C.
- Sinzinger H.
- Enkhmaa B.
- Anuurad E.
- Zhang W.
- Li C.S.
- Kaplan R.
- Lazar J.
- Merenstein D.
- Karim R.
- Aouizerat B.
- Cohen M.
MATERIALS AND METHODS
Study design and cohort
- Parrinello C.M.
- Landay A.L.
- Hodis H.N.
- Gange S.J.
- Norris P.J.
- Young M.
- Anastos K.
- Tien P.C.
- Xue X.
- Lazar J.
- Karim R.
- Mack W.J.
- Kono N.
- Tien P.C.
- Anastos K.
- Lazar J.
- Young M.
- Cohen M.
- Golub E.
- Greenblatt R.M.
Laboratory assays
- Parrinello C.M.
- Landay A.L.
- Hodis H.N.
- Gange S.J.
- Norris P.J.
- Young M.
- Anastos K.
- Tien P.C.
- Xue X.
- Lazar J.
Clinical variables
Statistics
RESULTS
Characteristics of study population across HIV status
HIV-Seronegative | HIV-Seropositive | P | |
---|---|---|---|
Number | 120 | 126 | |
Age (years) | 38 ± 9 | 38 ± 8 | 0.728 |
Race [n (%)] | − | − | 0.202 |
Whites | 25 (21) | 28 (22) | − |
African-Americans | 84 (70) | 77 (61) | − |
Others | 11 (9) | 21 (17) | − |
BMI (kg/m2) | 29 ± 7 | 28 ± 8 | 0.202 |
Systolic BP (mmHg) | 125 ± 20 | 120 ± 15 | 0.154 |
Diastolic BP (mmHg) | 74 ± 15 | 72 ± 11 | 0.812 |
HIV RNA (copies/ml) | − | 31,000 (6,900; 120,000) | − |
≤80 (lower detection limit) [n (%)] | − | 3 (2) | − |
81–999 [n (%)] | − | 7 (6) | − |
1,000–9,999 [n (%)] | − | 27 (22) | − |
≥10,000 [n (%)] | − | 85 (67) | − |
Missing | − | 4 (3) | − |
Duration of HIV infection (years) | − | 6.7 ± 3.7 | − |
CD4+ T-cell nadir (cells/mm3) | 823 (699; 998) | 230 (131; 348) | <0.0001 |
CD4+ T cell count (cells/mm3) | 999 (806; 1236) | 311 (176; 443) | <0.0001 |
Heart and high BP medication [n (%)] | 25 (26) | 17 (19) | 0.293 |
Diabetic medication [n (%)] | 5 (4) | 3 (2) | 0.491 |
Current smoke [n (%)] | 55 (47) | 66 (53) | 0.370 |
HCV coinfection, negative [n (%)] | 86 (72) | 90 (71) | 0.655 |
Premenopausal [n (%)] | 101 (84) | 104 (83) | 0.651 |
Total cholesterol (mg/dl) | 185 ± 36 | 161 ± 36 | <0.0001 |
LDL cholesterol, direct (mg/dl) | 104 ± 37 | 94 ± 29 | 0.116 |
HDL cholesterol (mg/dl) | 62 ± 20 | 46 ± 13 | <0.0001 |
Triglycerides (mg/dl) | 89 (60; 126) | 121 (88; 189) | <0.0001 |
Lp(a)- and apo(a)-related variables across HIV status
HIV-Seronegative | HIV-seropositive | P for Differences between HIV-Seronegative versus HIV-Seropositive pre-ART Visit | P for Differences between HIV-Seronegative versus HIV-Seropositive post-ART First Visit | P for DIfferences between HIV-Seronegative versus HIV-Seropositive post-ART Third Visit | |||
---|---|---|---|---|---|---|---|
Pre-ART Visit | Post-ART First Visit | Post-ART Third Visit | |||||
Lp(a) (mg/dl) | 23 (9; 43) | 18 (7; 33) | 24 (9; 45) | 24 (9; 47) | 0.087 | 0.794 | 0.991 |
Lp(a) (≥30 mg/dl) [n (%)] | 55 (46) | 38 (30) | 50 (40) | 50 (40) | 0.013 | 0.368 | 0.369 |
ASL, larger (mg/dl) | 8 (3; 15) | 5 (1; 12) | 6 (1; 16) | 6 (1; 14) | 0.024 | 0.178 | 0.256 |
ASL, smaller a (mg/dl)Given the evidence that the vast majority of individuals are heterozygotes for apo(a) alleles, it is likely that the apo(a) bands on Western blots are products of the smaller rather than the larger apo(a) allele within a given individual. For this reason, for subjects with a single expressed apo(a) band, data are entered as smaller apo(a) band [kringles (K)] and accounted for the size of smaller apo(a), and thus also for the ASL, smaller. | 19 (7; 36) | 13 (6; 25) | 16 (7; 35) | 16 (7; 32) | 0.041 | 0.612 | 0.662 |
Apo(a) size, larger (K) | 31 (28; 33) | 31 (28; 33) | − | − | 0.322 | − | − |
Apo(a) size, smaller a (K)Given the evidence that the vast majority of individuals are heterozygotes for apo(a) alleles, it is likely that the apo(a) bands on Western blots are products of the smaller rather than the larger apo(a) allele within a given individual. For this reason, for subjects with a single expressed apo(a) band, data are entered as smaller apo(a) band [kringles (K)] and accounted for the size of smaller apo(a), and thus also for the ASL, smaller. | 26 (23; 29) | 27 (22; 29) | − | − | 0.795 | − | − |
Presence of a small size apo(a) (≤22 K) [n (%)] | 29 (24) | 35 (28) | − | − | 0.562 | − | − |
Apo(a) expression | − | − | 0.660 | − | − | ||
Single isoform [n (%)] | 38 (32) | 32 (25) | |||||
Double isoforms [n (%)] | 81 (68) | 93 (74) | |||||
No isoform [n (%)] | 1 (1) | 1 (1) |

Effects of ART-initiation on Lp(a) levels and ASLs over time in the HIV-seropositive group
Change and percent change in Lp(a) levels and ASLs and impact by nontreated HIV infection
Post-ART First Visit | Post-ART Third Visit | P for Differences between First and Third post-ART Visits (All) | |||||||
---|---|---|---|---|---|---|---|---|---|
All | Therapy (−) | Therapy (+) | P for Differences between Therapy (−) and Therapy (+) | All | Therapy (−) | Therapy (+) | P for Differences between Therapy (−) and Therapy (+) | ||
Lp(a) level | n = 125 | n = 15 | n = 110 | n = 125 | n = 26 | n = 99 | |||
Change (mg/dl) | 3 (−0.6; 10) | 1.4 (−4; 8) | 4 (0; 11) | 0.254 | 2 (−0.9; 11) | −1.4 (−7; 3) | 3 (−0.1; 14) | <0.001 | 0.796 |
Percent change | 23 (−3; 54) | 10 (−32; 32) | 24 (0; 62) | 0.079 | 19 (−5; 64) | −6 (−32; 15) | 29 (−0.5; 74) | <0.001 | 0.966 |
ASL, larger | n = 93 | n = 11 | n = 82 | n = 92 | n = 20 | n = 72 | |||
Change (mg/dl) | 0.7 (−0.7; 4) | −0.3 (−3; 10) | 0.8 (−0.3; 4) | 0.328 | 0.6 (−0.5; 3) | 0.3 (−0.5; 1) | 0.8 (−0.5; 3) | 0.458 | 0.942 |
Percent change | 23 (−18; 64) | −6 (−40; 47) | 24 (−15; 70) | 0.146 | 22 (−8; 74) | 20 (−15; 57) | 23 (−7; 97) | 0.418 | 0.518 |
ASL, smaller | n = 125 | n = 15 | n = 110 | n = 124 | n = 26 | n = 98 | |||
Change (mg/dl) | 2 (−0.1; 8) | −0.1 (−7; 7) | 2 (0; 8) | 0.093 | 2 (−0.9; 9) | −2 (−7; 2) | 3 (0; 10) | <0.001 | 0.635 |
Percent change | 21 (−2; 50) | −2 (−32; 29) | 23 (0; 55) | 0.027 | 20 (−8; 60) | −10 (−37;7) | 28 (0; 74) | <0.001 | 0.945 |

Impact of apo(a) phenotypes or presence of HCV coinfection on changes and percent changes in Lp(a) levels
Effects of ART-initiation on HIV-related and other clinical variables over time in HIV-seropositive women
Correlations between ART-induced changes in Lp(a) and other clinical and laboratory measurements
Change in Lp(a) | Change in ASL, Larger | Change in ASL, Smaller | |||||||
---|---|---|---|---|---|---|---|---|---|
Number | Correlation Coefficient | P | Number | Correlation Coefficient | P | Number | Correlation Coefficient | P | |
Unit change | |||||||||
BMI (kg/m2) | 118 | 0.017 | 0.852 | 86 | 0.023 | 0.831 | 118 | 0.036 | 0.700 |
CD4+ T-cell count (cells/mm3) | 122 | −0.034 | 0.707 | 91 | −0.094 | 0.374 | 122 | 0.029 | 0.747 |
Triglycerides (mg/dl) | 122 | −0.222 | 0.014 | 90 | −0.303 | 0.004 | 122 | −0.180 | 0.048 |
Cholesterol (mg/dl) | 121 | 0.316 | <0.001 | 89 | 0.253 | 0.017 | 121 | 0.329 | <0.001 |
LDL cholesterol (mg/dl) | 123 | 0.304 | <0.001 | 91 | 0.323 | 0.002 | 123 | 0.289 | 0.001 |
HDL cholesterol (mg/dl) | 121 | 0.158 | 0.083 | 89 | 0.112 | 0.295 | 121 | 0.212 | 0.019 |
Percent change | |||||||||
BMI (kg/m2) | 118 | 0.039 | 0.671 | 87 | −0.021 | 0.844 | 118 | 0.060 | 0.518 |
CD4+ T-cell count (cells/mm3) | 121 | 0.176 | 0.054 | 92 | 0.035 | 0.741 | 121 | 0.217 | 0.017 |
Triglycerides (mg/dl) | 122 | −0.256 | 0.004 | 91 | −0.269 | 0.010 | 122 | −0.228 | 0.012 |
Cholesterol (mg/dl) | 121 | 0.318 | <0.001 | 90 | 0.266 | 0.011 | 121 | 0.306 | <0.001 |
LDL cholesterol (mg/dl) | 121 | 0.342 | <0.001 | 91 | 0.319 | 0.002 | 121 | 0.279 | 0.002 |
HDL cholesterol (mg/dl) | 121 | 0.082 | 0.369 | 90 | 0.056 | 0.599 | 121 | 0.123 | 0.180 |
DISCUSSION
- Enkhmaa B.
- Anuurad E.
- Zhang W.
- Li C.S.
- Kaplan R.
- Lazar J.
- Merenstein D.
- Karim R.
- Aouizerat B.
- Cohen M.
- Kritz H.
- Efthimiou Y.
- Stamatopoulos J.
- Najemnik C.
- Sinzinger H.
- Enkhmaa B.
- Anuurad E.
- Zhang W.
- Li C.S.
- Kaplan R.
- Lazar J.
- Merenstein D.
- Karim R.
- Aouizerat B.
- Cohen M.
- Gaudet D.
- Kereiakes D.J.
- McKenney J.M.
- Roth E.M.
- Hanotin C.
- Gipe D.
- Du Y.
- Ferrand A.C.
- Ginsberg H.N.
- Stein E.A.
- Arsenault B.J.
- Petrides F.
- Tabet F.
- Bao W.
- Hovingh G.K.
- Boekholdt S.M.
- Ramin-Mangata S.
- Meilhac O.
- DeMicco D.
- Rye K.A.
Supplementary Material
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Article info
Publication history
Footnotes
National Institute of Allergy and Infectious Diseases http://dx.doi.org/10.13039/100000060
Eunice Kennedy Shriver National Institute of Child Health and Human Development http://dx.doi.org/10.13039/100009633
National Cancer Institutehttp://dx.doi.org/10.13039/100000054
National Institute on Drug Abuse http://dx.doi.org/10.13039/100000026
National Institute of Mental Health http://dx.doi.org/10.13039/100000025
National Institute of Dental and Craniofacial Research http://dx.doi.org/10.13039/100000072
National Institute on Alcohol Abuse and Alcoholism http://dx.doi.org/10.13039/100000027
National Institute on Deafness and other Communication Disorders http://dx.doi.org/10.13039/100000055
National Institutes of Health http://dx.doi.org/10.13039/100000002
The WIHS is funded primarily by the National Institute of Allergy and Infectious Diseases (NIAID), with additional co-funding from the Eunice Kennedy Shriver National Institute of Child Health and Human Development NICHD), the National Cancer Institute (NCI), the National Institute on Drug Abuse (NIDA), and the National Institute of Mental Health (NIMH). Targeted supplemental funding for specific projects is also provided by the National Institute of Dental and Craniofacial Research (NIDCR), the National Institute on Alcohol Abuse and Alcoholism (NIAAA), the National Institute on Deafness and other Communication Disorders (NIDCD), and the National Institutes of Health (NIH) Office of Research on Women's Health. WIHS data collection is also supported by UL1-TR000004 (UCSF CTSA) and UL1-TR000454 (Atlanta CTSA). The study was also supported by the NIH-supported UCD Clinical and Translational Science Center base operating grant (TR001860), NIH K12 Building Interdisciplinary Research Career in Women's Health Program (NIH2K12HD051958) and grants R01HL126543, R01HL132794, R01HL083760, and R01HL095140 to R.K. Data in this work were collected by the Women's Interagency HIV Study (WIHS). WIHS (Principal Investigators): UAB-MS WIHS (Michael Saag, Mirjam-Colette Kempf, and Deborah Konkle-Parker), U01-AI-103401; Atlanta WIHS (Ighovwerha Ofotokun and Gina Wingood), U01-AI-103408; Bronx WIHS (Kathryn Anastos), U01-AI-035004; Brooklyn WIHS (Howard Minkoff and Deborah Gustafson), U01-AI-031834; Chicago WIHS (Mardge Cohen and Audrey French), U01-AI-034993; Metropolitan Washington WIHS (Seble Kassaye), U01-AI-034994; Miami WIHS (Margaret Fischl and Lisa Metsch), U01-AI-103397; UNC WIHS (Adaora Adimora), U01-AI-103390; Connie Wofsy Women's HIV Study, Northern California (Ruth Greenblatt, Bradley Aouizerat, and Phyllis Tien), U01-AI-034989; WIHS Data Management and Analysis Center (Stephen Gange and Elizabeth Golub), U01-AI-042590; Southern California WIHS (Joel Milam), U01-HD-032632 (WIHS I–WIHS IV). The contents of this publication are solely the responsibility of the authors and do not represent the official views of the National Institutes of Health.
The online version of this article (available at http://www.jlr.org) contains a supplement.
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