| Literature DB >> 29976641 |
David Tyssen1, Ying-Ying Wang2, Joshua A Hayward1, Paul A Agius3,4, Kevin DeLong5, Muriel Aldunate1,6, Jacques Ravel7,8, Thomas R Moench9, Richard A Cone2,5, Gilda Tachedjian10,6,11,12.
Abstract
Women of reproductive age with a Lactobacillus-dominated vaginal microbiota have a reduced risk of acquiring and transmitting HIV and a vaginal pH of ~4 due to the presence of ~1% (wt/vol) lactic acid. While lactic acid has potent HIV virucidal activity in vitro, whether lactic acid present in the vaginal lumen inactivates HIV has not been investigated. Here we evaluated the anti-HIV-1 activity of native, minimally diluted cervicovaginal fluid obtained from women of reproductive age (n = 20) with vaginal microbiota dominated by Lactobacillus spp. Inhibition of HIVBa-L was significantly associated with the protonated form of lactic acid in cervicovaginal fluid. The HIVBa-L inhibitory activity observed in the <3-kDa acidic filtrate was similar to that of the corresponding untreated native cervicovaginal fluid as well as that of clarified neat cervicovaginal fluid subjected to protease digestion. These ex vivo studies indicate that protonated lactic acid is a major anti-HIV-1 metabolite present in acidic cervicovaginal fluid, suggesting a potential role in reducing HIV transmission by inactivating virus introduced or shed into the cervicovaginal lumen.IMPORTANCE The Lactobacillus-dominated vaginal microbiota is associated with a reduced risk of acquiring and transmitting HIV and other sexually transmitted infections (STIs). Lactic acid is a major organic acid metabolite produced by lactobacilli that acidifies the vagina and has been reported to have inhibitory activity in vitro against bacterial, protozoan, and viral STIs, including HIV infections. However, the anti-HIV properties of lactic acid in native vaginal lumen fluids of women colonized with Lactobacillus spp. have not yet been established. Our study, using native cervicovaginal fluid from women, found that potent and irreversible anti-HIV-1 activity is significantly associated with the concentration of the protonated (acidic, uncharged) form of lactic acid. This work advances our understanding of the mechanisms by which vaginal microbiota modulate HIV susceptibility and could lead to novel strategies to prevent women from acquiring HIV or transmitting the virus during vaginal intercourse and vaginal birth.Entities:
Keywords: HIV transmission; Lactobacillus; human immunodeficiency virus; metabolite; microbiota; vagina
Mesh:
Substances:
Year: 2018 PMID: 29976641 PMCID: PMC6034077 DOI: 10.1128/mSphere.00055-18
Source DB: PubMed Journal: mSphere ISSN: 2379-5042 Impact factor: 4.389
FIG 1 Most native, minimally diluted CVF samples fully inactivate HIVBa-L (A) and the transmitted/founder HIVRHPA strain (B); however, inactivation is lost upon neutralization of CVF. Lines connect HIVBa-L and HIVRHPA infectivity measurements from native and neutralized aliquots of the same CVF sample. HIV_12 and HIV_25 CVF samples are indicated. Data represent CVF samples from 22 distinct samples (from n = 20 women) (A) and 4 distinct samples (from n = 4 women) (B). Note that data points overlay for several samples in panel A.
Association between HIVBa-L infectivity and HIVRHPA infectivity (in milliliters) in neutralized CVF relative to native CVF from GLMM
| Virus and CVF category | 95% CI | ||
|---|---|---|---|
| HIVBa-L | |||
| Native | Ref | ||
| Neutralized | 2.59 (0.79) | 1.04, 4.14 | 0.001 |
| HIVRHPA | |||
| Native | Ref | ||
| Neutralized | 6.80 (0.76) | 5.31, 8.28 | <0.001 |
Data represent generalized linear mixed modeling (GLMM) results generalized through specification of a Poisson distribution and log-link function from n = 44 data points for HIVBa-L and n = 8 data points for HIVRHPA. GLMM was used to apply a random intercept (gamma distribution assumed) for data from each study participant given the repeated HIV-1 infectivity measurement per participant. The (natural) coefficient is the log incidence rate ratio—an exponentiated coefficient yields the percentage of change for a unit (percent) increase for a given factor. The effect represents the difference in log incidence values between study participants’ native and neutralized CVF samples with each participant’s native CVF sample treated as the reference (Ref).
Data represent log incidence rate ratio (b) values and associated standard errors (SE). Bootstrapped standard errors (n = 1,000 replications) were estimated to provide correct inferences in the presence of overdispersion in infectivity in generalized linear modeling.
95% CI, 95% confidence interval.
P value, probability value. Statistical significance was determined at a P value of <0.01.
FIG 2 HIVBa-L inactivation in CVF is significantly associated with percent d+l-protonated lactic acid but not with percent d+l-lactate anion or with pH. Generalized linear mixed modeling (GLMM) was used to estimate the association between HIVBa-L infectivity per milliliter and CVF sample percent d+l-protonated lactic acid (A), percent d+l-lactate anion (B), and pH (C). Observed data from native, minimally diluted, 3-fold diluted, 9-fold diluted, 27-fold diluted, and neutralized CVF samples are depicted by open black circles and predicted values in filled red circles. Given the discrete (nonnormal) nature of the HIVBa-L infectivity outcome data, linear modeling was generalized by a Poisson distribution and log-link function. To account for inherent dependency in the data from repeated measures of HIVBa-L infectivity after CVF treatment, GLMM analyses specified a participant-specific random intercept effectively modeling the data corresponding to the heterogeneity between participants in person-specific HIVBa-L infectivity levels which induce correlation across serial measurements. Modeling data from unadjusted (univariable) analyses are shown where associations reached statistical significance for infectivity per milliliter versus percent d+l-protonated lactic acid (P < 0.001) but not versus percent d+l-lactate anion (P = 0.280) or pH (P = 0.139). Data represent CVF samples from 22 distinct samples (from n = 20 women).
Unadjusted and adjusted associations between HIVBa-L infectivity and protonated d+l-lactic acid, d+l-lactate anion and pH from generalized linear mixed modeling
| Factor | Unadjusted | Model A | Model B | Model C | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95% CI | 95% CI | 95% CI | 95% CI | |||||||||
| % | ||||||||||||
| Linear term | −22.8 (3.9) | −30.6, −15.1 | <0.001 | −24.6 (4.9) | −34.3, −14.9 | <0.001 | −27.9 (5.6) | −39.0, −16.9 | <0.001 | −26.9 (5.4) | −37.7, −16.3 | <0.001 |
| Squared term | 25.5 (8.7) | 8.48, 42.6 | 0.003 | 29.1 (10.3) | 8.8, 49.4 | 0.005 | 33.4 (8.5) | 16.8, 50.0 | <0.001 | 31.2 (10.1) | 11.4, 51.1 | 0.002 |
| pH | ||||||||||||
| Linear term | 1.38 (0.93) | −0.45, 3.20 | 0.139 | −0.14 (0.35) | −0.83, 0.54 | 0.681 | 0.12 (0.22) | −0.30, 0.54 | 0.589 | |||
| % | ||||||||||||
| Linear term | −2.59 (2.4) | −7.29, 2.11 | 0.280 | 0.91 (1.6) | 16.4, 16.9 | 0.573 | 0.98 (1.5) | −1.95, 3.92 | 0.511 | |||
Data represent generalized linear mixed modeling (GLMM) results generalized through specification of a Poisson distribution and log-link function from n = 69 data points. GLMM was used to apply a random intercept (gamma distribution assumed) for data from each study participant given the repeated HIV-1 infectivity measurement per participant. HIV infectivity data were subjected to regression for each factor by applying either linear or quadratic functional forms. The (natural) coefficient is the log incidence rate ratio—exponentiated coefficients yield the percentage of change for a unit (percent) increase for a given factor.
Model A data represent independent effects for percent d+l-protonated lactic acid and pH.
Model B data represent independent effects for percent d+l-protonated lactic acid and percent d+l-lactate.
Model C data represent independent effects for percent d+l-protonated lactic acid, pH, and percent d+l-lactate.
Data represent log incidence rate ratio (b) values and associated standard errors (SE). Bootstrapped standard errors (n = 1,000 replications) were estimated to provide correct inferences in the presence of overdispersion in infectivity in generalized linear modeling.
95% CI, 95% confidence interval.
P value, probability value. Statistical significance was determined at a P value of <0.01.
FIG 3 HIVBa-L inactivation is significantly associated with both percent d-protonated lactic acid and percent l-protonated lactic acid. Generalized linear mixed modeling (GLMM) was used to estimate the association between HIVBa-L infectivity per milliliter and CVF sample percent l-protonated lactic acid (A) and percent d-protonated lactic acid (B). Observed data from native, minimally diluted, 3-fold diluted, 9-fold diluted, 27-fold diluted, and neutralized CVF samples are depicted by open black circles and predicted values in filled red circles. Given the discrete (nonnormal) nature of the HIVBa-L infectivity outcome data, linear modeling was generalized by a Poisson distribution and log-link function. To account for inherent dependency in the data from repeated measures of HIVBa-L infectivity after CVF treatment, GLMM analyses specified a participant-specific random intercept effectively modeling the data corresponding to the heterogeneity between participants in person-specific HIVBa-L infectivity levels which induce correlation across serial measurements. Modeling data from unadjusted (univariable) analyses are shown where associations reached statistical significance for infectivity per milliliter versus percent l-protonated lactic acid (P < 0.001) and percent d-protonated lactic acid (P < 0.001). Data represent CVF samples from 22 distinct samples (from n = 20 women).
Associations between HIVBa-L infectivity and d- and l-protonated lactic acid isomers
| Factor | 95% CI | ||
|---|---|---|---|
| Linear term | −40.3 (7.0) | −54.0, −26.5 | <0.001 |
| Squared term | 77.3 (25.3) | 27.7, 126.8 | 0.002 |
| Linear term | −52.4 (8.7) | −69.4, −35.4 | <0.001 |
| Squared term | 134.3 (42.1) | 51.8, 216.8 | 0.001 |
Effects for each factor represent separate generalized linear mixed modeling (GLMM) analyses from n = 69 data points where infectivity data were subjected to regression for percent d-protonated lactic acid and percent l-protonated lactic acid applying a quadratic functional form and assuming a Poisson distribution and log-link function. GLMM was used to apply a random intercept (gamma distribution assumed) for data from each study participant given the repeated HIV-1 infectivity measurement per participant.
Data represent log incidence rate ratio (b) value and associated standard errors (SE). Bootstrapped standard errors (n = 1,000 replications) were estimated to provide correct inference in the presence of overdispersion in infectivity in generalized linear modeling.
95% CI, 95% confidence interval.
Statistical significance was determined at a P value of <0.01.
FIG 4 Anti-HIVBa-L activity was present in the acidic <3-kDa-MW CVF fraction and was retained after digestion with pepsin. (A) Data represent anti-HIVBa-L activity of pooled native CVF, including unmodified (Native) activity and activity at neutral pH (Native pH 7), separated into a low-molecular-weight <3-kDa fraction by centrifugation through a 3-kDa-MWCO membrane at the original acidic pH (Filtrate) or neutralized pH (Filtrate pH 7) or the ≥3-kDa retentate that was extensively washed with PBS− and resuspended in medium to the original native CVF volume (Pellet pH 7). Data represent results from an individual (n = 1) assay of three separate sets of pooled CVF samples. (B) Anti-HIVBa-L activity of pooled acidic CVF (pH 4.13, clarified by centrifugation, i.e., supernatant), including unmodified (Neat), neutralized pH (Neat pH 7), pepsin-digested, and <3-kDa filtrate recovered by centrifugation and tested at the original acidic pH 4.15 (Pepsin filtrate) or adjusted to neutral pH (Pepsin filtrate pH 7). HIVBa-L infectivity was normalized to infectivity measured in DMEM-50. The limit of detection was 1.5 × 103 infectious units/ml. Error bars denote standard deviations from n = 3 independent assays.
FIG 5 16S rRNA gene sequencing of CVF samples reveals groups with distinct vaginal microbiota, dominated by Lactobacillus crispatus (CST I), L. iners (CST III), or L. jensenii (CST V). Colored bars indicate the abundance of different bacterial species as a proportion of all species in the sample. CVF sample numbers (from n = 13 participants) are indicated at the bottom of the heat map.
FIG 6 Anti-HIVBa-L activity and percent d+l-protonated lactic acid (wt/vol) levels of CVF samples with distinct vaginal microbiota dominated by Lactobacillus spp. (A) HIVBa-L infectivity after incubation in CVF samples (HIV_15 to HIV_27) with community state types (CST) dominated by L. crispatus (CST I), L. iners (CST III), or L. jensenii (CST V). Samples represented below the dotted horizontal line were below the detection limit of the infectivity assay. (B) Levels of percent d+l-protonated lactic acid in CVF samples (HIV_15 to HIV_27) categorized as CST (I), CST III, and CST V. Solid horizontal lines represent the means.