Increased immune activation and signs of neuronal injury in HIV-negative people on preexposure prophylaxis : AIDS

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Increased immune activation and signs of neuronal injury in HIV-negative people on preexposure prophylaxis

Robertson, Josefinaa,b; Edén, Arvida,b; Nyström, Kristinaa; Hagberg, Larsa,b; Yilmaz, Aylina,b; Gostner, Johanna M.c; Fuchs, Dietmard; Nilsson, Staffane; Blennow, Kajf,g; Zetterberg, Henrikf,g,h,i; Gisslén, Magnusa,b

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doi: 10.1097/QAD.0000000000002980
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Abstract

Introduction

Many people living with HIV (PLHIV) display a persistent systemic immune activation and inflammation despite successful antiretroviral therapy (ART) [1,2]. This inflammatory state is present also in the central nervous system (CNS) [3,4], and has been found to be associated with neurocognitive impairment, known as HIV-associated neurocognitive disorder [5]. The underlying cause of the inflammatory state remains unknown, although several mechanisms have been proposed, including residual HIV replication in spite of effective ART, viral coinfections [i.e. cytomegalovirus (CMV)], loss of immune regulatory responses and unfavourable lifestyle factors [6]. In a study of PLHIV on suppressive ART and lifestyle-matched controls, both groups showed higher levels of cellular monocyte activation than age-matched blood-bank donors, and the monocyte activation was strongly associated with high pro-inflammatory cytokine production and cerebrospinal fluid (CSF) inflammation [7]. These findings emphasize the potential impact of lifestyle-related factors on persistent inflammation, as well as the importance of using appropriate controls to PLHIV when analysing and interpreting inflammatory markers in blood and CSF in relation to treated HIV. In this context, HIV-negative people on preexposure prophylaxis (PrEP) constitute a potentially suitable control group to PLHIV, often sharing several lifestyle-related factors such as increased alcohol and drug use [8,9], and high rates of sexually transmitted infections [10,11]. We therefore investigated whether HIV-negative people on PrEP have altered levels of immune activation and neuronal injury markers in blood and CSF compared with volunteers without PrEP.

Materials and methods

Individuals

We included 40 HIV-negative persons on PrEP with tenofovir disoproxil fumarate (TDF)/emtricitabine (FTC), recruited from the Department of Infectious Diseases at the Sahlgrenska University Hospital, Gothenburg, Sweden. Confirmatory HIV tests were performed every third month throughout the study period and until recently to make sure that no participant was seroconverting. Exclusion criteria were preexisting cerebrovascular disease or severe psychiatric or neurological disorders that may have a confounding impact on CSF biomarkers. Twenty volunteers without PrEP, comprising healthcare workers, students and their relatives, were included as controls. Lumbar punctures and blood sampling were performed according to a previously described standardized protocol [12], and were collected between April 2018 and December 2019. All individuals completed self-reported questionnaires for alcohol and drug use [Alcohol use disorders identification test (AUDIT) and Drug use disorders identification test (DUDIT)]. The study was conducted in accordance with the ethical principles set out in the declaration of Helsinki, and was approved by the Swedish Ethical Review Authority (Dnr: 060–18). Written informed consent was obtained from all participants.

Biomarker analyses

CSF and serum β2-microglobulin were measured using the N Latex β2M kit on the Atellica NEPH 630 System (Siemens Healthcare GmbH. Erlangen, Germany). Normal reference values were 1.8 mg/l or less in CSF and 2.1 mg/l or less in serum. CSF and serum neopterin were measured by a commercially available radioimmunoassay (BRAHMS, Berlin, Germany). Serum samples and standards were treated with Igepal [Sigma-Aldrich, Vienna, Austria; final concentration in serum or standards was 2% (v/v)]. Normal reference values were 5.8 nmol/l or less in CSF and 9.1 nmol/l or less in serum [13,14]. CSF neurofilament light protein (NfL) concentrations were measured using an in-house sandwich ELISA as previously described [15]. Age-adjusted (35 years) values of CSF NfL were calculated, as concentrations naturally increase with age in the uninfected population [16]. The lower limit of quantification was 50 ng/l, and the upper normal age-adjusted reference limit was 622 ng/l. Immunoglobulin G (IgG) and albumin concentrations were measured by immunoturbidimetry on a Cobas instrument (Roche Diagnostics, Penzberg, Germany). IgG-index and CSF/plasma albumin ratio were calculated according to previous descriptions [17,18]. CSF levels of matrix metalloproteinase-3 (MMP-3) and matrix metalloproteinase-9 (MMP-9) were determined using the human MMP-3 and MMP-9 Ultra-Sensitive Kit from MSD. CSF-soluble platelet-derived growth factor receptor-β (sPDGFRβ) concentration was measured by sandwich ELISA (Thermo Fisher Scientific, Loughborough, UK), as previously described [19]. Peripheral blood CD4+ and CD8+ T-cell counts, as well as CSF leukocytes measurements were performed in the local clinical laboratories using routine methods. In individuals with pleocytosis, CSF PCR for herpes simplex virus type 1 (HSV-1), herpes simplex virus type 2 (HSV-2), varicella zoster virus (VZV), enterovirus, human herpesvirus 6 (HHV-6), human paraechovirus and CMV were performed. CMV and HSV-2 total antibody titres were measured using ELISA.

Next-generation sequencing analysis

Total RNA was reverse transcribed using Omniscript Reverse Transcription Kit (Qiagen, Hilden, Germany) as previously described [20]. DNA and cDNA were amplified by nested PCR [20]. PCR was purified with QIAquick PCR purification kit (Qiagen) and Illumina sequencing libraries were built by Nextera DNA Flex Library Prep Kit (Illumina, San Diego, California, USA) according to manufacturers’ protocol. The libraries were sent to Eurofins Genomics (Eurofins Genomics Germany GmbH, Ebersberg, Germany) for sequencing on a HiSeq 4000 platform (Illumina) to produce 150-bp paired-end reads. Raw data from Illumina sequencing were imported into CLC Genomic Workbench 12 (Qiagen) for analysis. Sequences were trimmed and primer sequences were removed. Human sequences were removed, and remaining sequences were assembled using the built-in de-novo assembler, wherein contigs were blasted using BLASTn [20].

AUDIT and DUDIT

The Alcohol use disorders identification test (AUDIT) was used to screen for harmful patterns of alcohol use. AUDIT is composed of 10 self-rating questions, developed by the WHO, and has been internationally validated for use in primary healthcare [21]. To identify recreational drug use, we utilized the Drug use disorders identification test (DUDIT), consisting of 11 questions [22].

Statistical analyses

Descriptive statistics were performed using Prism (GraphPad software version 8.0; La Jolla, California, USA). The Mann--Whitney test was used for comparisons between independent groups and Fishers exact test was used for comparisons of categorical variables. Correlations were explored with Spearman correlation. A significance level below 0.05 was considered as statistically significant. The effect size that can be detected with 80% power is Cohen's d = 0.8.

Results

The median age of the HIV-negative persons on PrEP was 36 [interquartile range (IQR) 29–40] years compared with 35 (25–44) years in the group with volunteers. All but one on PrEP were men (97.5%), whereas nine of 20 (45%) were men among the volunteers (Table 1).

Table 1 - Demographic data and concentrations of cerebrospinal fluid and serum markers from 40 HIV-negative persons on preexposure prophylaxis (PrEP) and 20 controls without PrEP.
PrEP (n = 40)Median (IQR) Controls (n = 20)Median (IQR) P
Sex (M/F) 39/1 9/11 <0.0001
Age (years) 36 (29–40) 35 (25–44) 0.71
CMV (%) 36/40 (90) 13/20 (65) <0.05
HSV-2 (%) 8/40 (20) 1/20 (5) 0.25
Alcohol use, n (%)a 27 (93) 14 (100) >0.99
Recreational drug use, n (%)a 9 (31) 0 (0) <0.05
CD4+ cell count, cells106/l 825 (615–1025) 810 (670–1100) 0.84
CD8+ count, cells106/L 635 (498–843) 495 (440–618) 0.06
CD4/CD8 ratio 1.3 (1.0–1.7) 1.5 (1.4–1.8) 0.07
CSF ß2-microglobulin (mg/l) 1.2 (1.0–1.4) 1.0 (0.9–1.1) <0.01
Serum ß2-microglobulin (mg/l) 1.9 (1.7–2.2) 1.6 (1.4–1.6) <0.0001
CSF neopterin (nmol/l) 4.9 (4.4–5.7) 4.9 (4.7–5.9) 0.63
Serum neopterin (nmol/l) 8.1 (5.8–11.3) 7.0 (6.1–7.2) <0.05
CSF/plasma albumin ratio 4.2 (3.6–5.5) 3.7 (2.7–4.6) <0.05
IgG index 0.5 (0.5–0.5) 0.5 (0.5–0.5) 0.53
Age-adjusted NfL (ng/l) 324.5 (264.0–433.0) 228.0 (206.8–339.8) <0.01
MMP-3 (pg/l) 304.8 (250.0–428.9) 229.8 (179.8–356.5) <0.05
MMP-9 (pg/l) 90.7 (56.1–139.2) 74.4 (41.9–84.8) 0.09
sPDGFRβ (pg/l) 1108.8 (797.5–1272.5) 915.7 (809.9–1190.9) 0.53
CMV, cytomegalovirus; CSF, cerebrospinal fluid; HSV-2, Herpes simplex virus type 2; IQR, interquartile range; MMP, matrix metalloproteinase; NfL, neurofilament light protein; sPDGFRß, soluble platelet-derived growth factor receptor-ß.
aPercentages are calculated on the 43 participants who answered the questionnaires [29/40 in the PrEP group (73%) and 14/20 among controls without PrEP (70%)].

When analysing CSF and blood immune activation markers, we found that compared with controls, persons on PrEP displayed significantly higher median (IQR) concentrations of β2-microglobulin in both CSF [1.2 (1.0–1.4) vs. 1.0 (0.9–1.1) mg/l, P < 0.01] and serum [1.9 (1.7–2.2) vs. 1.6 (1.4–1.6) mg/l, P < 0.0001], whereas neopterin was only found to be higher in serum [8.1 (5.8–11.3) vs. 7.0 (6.1–7.2) nmol/l, P < 0.05] (Fig. 1, Table 1). Moreover, when analysing the neuronal injury marker NfL in CSF, we found that persons on PrEP had significantly higher age-adjusted concentrations than controls [324.5 (264.0–433.0) vs. 228.0 (206.8–339.8) ng/l, P < 0.01] (Fig. 2). Five out of 40 on PrEP, compared with none of the non-PrEP volunteers, had CSF NfL levels above the age-specific upper normal reference value of 622 ng/l. CSF/plasma albumin ratio was also found to be higher in persons on PrEP (Table 1, Fig. 2), indicating affected BBB integrity. The albumin ratio was above the upper normal reference level in six out of 40 persons on PrEP (15%) compared with one out of 20 without PrEP. MMP-3 was significantly higher in persons on PrEP [304.8 (250.0–428.9) vs. 229.8 (179.8–356.5) pg/l, P < 0.05], giving further support to BBB dysfunction (Fig. 2). MMP-9 and sPDGFRβ were numerically higher but did not reach statistical significance (Table 1).

F1
Fig. 1:
Levels of β2-microglobulin (mg/l) and neopterin (nmol/l) in serum and cerebrospinal fluid in persons on preexposure prophylaxis (PrEP) (n = 40) and controls without PrEP (n = 20).
F2
Fig. 2:
Levels of cerebrospinal fluid neurofilament light protein (NfL, ng/l), CSF/plasma (P) albumin ratio and CSF matrix metalloproteinase 3 (MMP-3, pg/l) in persons on preexposure prophylaxis (PrEP) (n = 40) and controls without PrEP (n = 20).

To explore the cause of the neuronal injury (elevated NfL levels), we performed correlation analyses and found that albumin ratio, β2-microglobulin and sPDGFRβ correlated to CSF NfL (CSF NfL vs. albumin ratio, r = 0.298, P = 0.022; CSF NfL vs. CSF β2-microglobulin, r = 0.428, P = 0.001; CSF NfL vs. CSF sPDGFRβ, r = 0.294, P = 0.024), suggesting that BBB impairment and immune activation may both be involved in the neuronal injury found in persons on PrEP. Taken together, our findings show that persons on PrEP have elevated levels of several important markers for immune activation, neuronal injury and BBB impairment.

To test the potential impact of viral coinfections, we analysed CMV and HSV-2 seroprevalences, as well as CSF pleocytosis. In persons on PrEP, 90% were positive for CMV compared to 65% among the volunteers without PrEP (P < 0.05). Corresponding rates for HSV-2 were 20 vs. 5% (P = 0.25). CSF pleocytosis (CSF WBC ≥5 per μl) was present in five out of 40 persons on PrEP, and in one out of 20 controls. Among the five individuals with CSF pleocytosis, PCR analyses of CSF were negative for HSV-1 and -2, VZV, enterovirus, HHV-6, human paraechovirus and CMV, suggesting that the pleocytosis was not caused by a viral coinfection in the CNS. The two persons with highest CSF WBC count, who also had increased CSF NfL concentrations, were analysed with NGS, in which no viral sequences were detected. In one individual, low amount of 819 nucleotides matching Corynebacterium accolens were identified, which was, however, considered as contamination. In a separate analysis comparing CMV-positive and CMV-negative individuals, we found significantly higher levels of β2-microglobulin in serum among the CMV-positive (P < 0.05), while the difference observed for serum neopterin did not reach statistical significance (P = 0.08) (Fig. 3). CSF β2-microglobulin, CSF neopterin, CSF MMP-3, albumin ratio and CSF NfL did not differ between groups (data not shown). Apart from viral coinfections, we also performed syphilis tests every third month throughout the study period, and none of the participants had an ongoing infection.

F3
Fig. 3:
Levels of β2-microglobulin (mg/l) and neopterin (nmol/l) in serum in study participants divided into cytomegalovirus-positive (n = 49) and cytomegalovirus-negative (n = 11) individuals.

To assess the use of alcohol and drugs, study participants were asked to fill out the questionnaires AUDIT and DUDIT. The answer rate was 73% (29/40) in the PrEP group, compared with 70% (14/20) of the controls. Among persons on PrEP, nine reported regular drug use, whereas none of the controls reported use of any drugs (P < 0.05). Four of the users stated that they consumed drugs once a month or less often, four that they consumed drugs two to four times a month and one reported usage at the second highest level, meaning two to three times a week. All participants confirmed that they were alcohol consumers, except for two persons on PrEP (P = ns). Several participants in both groups reported alcohol consumption two to four times a month (16 (55%) in the PrEP group, and seven (50%) in the control group). Four (14%) of the persons on PrEP and five (36%) of the controls answered that they used alcohol two to three times a week. None of the participants reported alcohol consumption four or more times a week. In a subgroup analysis of biomarkers in drug users, serum β2-microglobulin was significantly higher than among nonusers (P < 0.01). None of the other serum or CSF biomarkers differed significantly between groups (data not shown).

To investigate the potential influence of recreational drug use and CMV seroprevalence on level of serum β2-microglobulin, we performed a multivariable regression analysis with serum β2-microglobulin as the dependent variable and group (PrEP vs. controls), CD8+ count, CMV and drug use as predictors (variables that significantly correlate with serum β2-microglobulin). Group was the only variable that significantly affected serum β2-microglobulin levels (data not shown).

Discussion

In the present study, we compared levels of immune activation in serum and CSF, as well as neuronal injury markers in CSF in HIV-negative people on PrEP and volunteers without PrEP. We found that several important markers for inflammation and impaired BBB function were elevated among individuals on PrEP. We also demonstrated that the PrEP group had higher seroprevalences of CMV and HSV-2, as well as higher rates of drug use, which may contribute to increased immune activation. These findings are important to consider when analysing biomarkers in PLHIV.

It is well known that many PLHIV suffer from a systemic inflammatory state [1,2], including the CNS [3–5], in spite of effective ART with apparent suppression of systemic and CSF viral replication. The underlying cause of this inflammation is not fully understood. Apart from the HIV-infection, PLHIV have higher rates of lifestyle-related risk factors than the general population, which may contribute to immune activation [9,23]. To decide whether the inflammatory state is attributable to the HIV-infection per se or to other factors associated with HIV, it is crucial to find appropriate controls when interpreting clinical biomarkers in PLHIV. Interestingly, it was recently reported that both PLHIV on ART and lifestyle-matched controls had higher levels of cellular monocyte activation than age-matched blood-bank donors [7]. These findings support that lifestyle factors contribute to the persistent inflammation. In this context, HIV-negative persons on PrEP may constitute suitable controls to PLHIV, as they often share several lifestyle-related factors. For instance, alcohol and drug use [8,24], increased sexual risk behaviours including multiple partners and unsafe sexual practices [25,26], as well as high rates of sexually transmitted bacterial infections [10] have been reported among both PLHIV and individuals on PrEP. On the basis of this, we investigated whether persons on PrEP display an altered inflammatory activation in blood and CSF compared with volunteers without PrEP.

In persons with PrEP, we found higher levels of several markers for immune activation (CSF and serum β2-microglobulin, serum neopterin), neuronal injury (CSF NfL) and BBB impairment (CSF/plasma albumin ratio, CSF MMP-3) compared with controls. This triad intrathecal immune activation, neuronal injury and disturbed BBB integrity – has previously been reported by us in untreated, as well as in neuroasymptomatic HIV-infected individuals on ART [27]. Thus, both PLHIV and some persons on PrEP display an inflammatory state with signs of neuronal injury and BBB impairment. This indicates that factors shared by PLHIV and persons on PrEP, other than the HIV-infection, may drive the persistent inflammation seen in both groups.

A potential contributor to the immune activation and inflammation seen in persons on PrEP are coinfections, such as human CMV or other herpesviruses. In line with this, we found a 90% seroprevalence of CMV among people on PrEP, which was considerably higher than among controls, and at similar levels as earlier seen in HIV-infected individuals [28]. Coinfections have previously been suggested to fuel the inflammatory state observed in HIV disease [29], and accordingly, we found that CMV-seropositive individuals had higher concentrations of β2-microglobulin and neopterin in blood. HIV-infected patients who received valganciclovir treatment were shown to have a significantly reduced CD8 activation compared with placebo controls [30], further supporting CMV coinfection as an important contributor to persistent immune activation.

The alcohol and drug use surveys showed similar alcohol habits between groups, but only use of recreational drugs and chemsex among persons on PrEP, of which most were MSM. The reported recreational drug use among PrEP persons (31%) is somewhat lower than in previous studies on PrEP and MSM (43%) [31,32]. As drug use is also common in PLHIV and MSM [9], a more liberal consumption may contribute to the immune activation seen both in persons on PrEP and PLHIV.

The small sample size and sex differences between the groups are two main limitations of the present study; however, there is no reason to believe that sex has a direct impact on the measured biomarker levels [33,34]. Furthermore, information about alcohol and drug use was collected by questionnaires, which introduces a potential risk of information bias with underestimation of the true consumption. Unfortunately, measurements of alcohol and drug use markers were not available.

In conclusion, the present study of HIV-negative persons on PrEP shows higher levels of several markers for immune activation, neuronal injury and BBB impairment than volunteers without PrEP. Moreover, serum β2-microglobulin was higher in CMV-positive than in CMV-negative individuals and in drug users compared with nonusers. These findings are important to consider when analysing biomarkers for immune activation and CNS injury in PLHIV, and emphasize the importance of appropriate controls.

Acknowledgements

This work was supported by the Swedish state, under an agreement between the Swedish government and the county councils (ALF agreement ALFGBG-717531). K.B. is supported by the Swedish Research Council (#2017–00915), the Alzheimer Drug Discovery Foundation (ADDF), USA (#RDAPB-201809–2016615), the Swedish Alzheimer Foundation (#AF-742881), Hjärnfonden, Sweden (#FO2017–0243), the Swedish state under the agreement between the Swedish government and the County Councils, the ALF-agreement (#ALFGBG-715986), the European Union Joint Program for Neurodegenerative Disorders (JPND2019-466-236) and the National Institute of Health (NIH), USA (grant #1R01AG068398-01). H.Z. is a Wallenberg Scholar supported by grants from the Swedish Research Council (#2018-02532), the European Research Council (#681712), Swedish State Support for Clinical Research (#ALFGBG-720931), the Alzheimer Drug Discovery Foundation (ADDF), USA (#201809-2016862), the AD Strategic Fund and the Alzheimer's Association (#ADSF-21-831376-C, #ADSF-21-831381-C and #ADSF-21-831377-C), the Olav Thon Foundation, the Erling-Persson Family Foundation, Stiftelsen för Gamla Tjänarinnor, Hjärnfonden, Sweden (#FO2019-0228), the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 860197 (MIRIADE) and the UK Dementia Research Institute at UCL.

Conflicts of interest

K.B. has served as a consultant, at advisory boards or at data monitoring committees for Abcam, Axon, Biogen, JOMDD/Shimadzu. Julius Clinical, Lilly, MagQu, Novartis, Roche Diagnostics and Siemens Healthineers, and is a co-founder of Brain Biomarker Solutions in Gothenburg AB (BBS), which is a part of the GU Ventures Incubator Program, all unrelated to the present study. H.Z. has served at scientific advisory boards for Eisai, Denali, Roche Diagnostics, Wave, Samumed, Siemens Healthineers, Pinteon Therapeutics, Nervgen, AZTherapies and CogRx, has given lectures in symposia sponsored by Cellectricon, Fujirebio, Alzecure and Biogen, and is a co-founder of Brain Biomarker Solutions in Gothenburg AB (BBS), which is a part of the GU Ventures Incubator Program (outside submitted work). The other authors declare that they have no competing interests.

References

1. Neuhaus J, Jacobs DR Jr, Baker JV, Calmy A, Duprez D, La Rosa A, et al. Markers of inflammation, coagulation, and renal function are elevated in adults with HIV infection. J Infect Dis 2010; 201:1788–1795.
2. Kamat A, Misra V, Cassol E, Ancuta P, Yan Z, Li C, et al. A plasma biomarker signature of immune activation in HIV patients on antiretroviral therapy. PLoS One 2012; 7:e30881.
3. Ulfhammer G, Edén A, Mellgren A, Fuchs D, Zetterberg H, Hagberg L, et al. Persistent central nervous system immune activation following more than 10 years of effective HIV antiretroviral treatment. AIDS 2018; 32:2171–2178.
4. Yilmaz A, Price RW, Spudich S, Fuchs D, Hagberg L, Gisslén M. Persistent intrathecal immune activation in HIV-1-infected individuals on antiretroviral therapy. J Acquir Immune Defic Syndr 2008; 47:168–173.
5. Edén A, Marcotte TD, Heaton RK, Nilsson S, Zetterberg H, Fuchs D, et al. Increased intrathecal immune activation in virally suppressed HIV-1 infected patients with neurocognitive impairment. PLoS One 2016; 11:e0157160.
6. Deeks SG. HIV infection, inflammation, immunosenescence, and aging. Annu Rev Med 2011; 62:141–155.
7. Booiman T, Wit FW, Maurer I, Francesco DD, Sabin CA, Harskamp AM, et al. High cellular monocyte activation in people living with human immunodeficiency virus on combination antiretroviral therapy and lifestyle-matched controls is associated with greater inflammation in cerebrospinal fluid. Open Forum Infect Dis 2017; 4:ofx108.
8. Ogbuagu O, Marshall BDL, Tiberio P, Ogunbajo A, Barakat L, Montgomery M, et al. Prevalence and correlates of unhealthy alcohol and drug use among men who have sex with men prescribed HIV preexposure prophylaxis in real-world clinical settings. AIDS Behav 2019; 23:190–200.
9. Kader R, Seedat S, Koch JR, Parry CD. A preliminary investigation of the AUDIT and DUDIT in comparison to biomarkers for alcohol and drug use among HIV-infected clinic attendees in Cape Town, South Africa. Afr J Psychiatry 2012; 15:346–351.
10. Traeger MW, Cornelisse VJ, Asselin J, Price B, Roth NJ, Willcox J, et al. Association of HIV preexposure prophylaxis with incidence of sexually transmitted infections among individuals at high risk of HIV infection. JAMA 2019; 321:1380–1390.
11. Dougan S, Evans BG, Elford J. Sexually transmitted infections in Western Europe among HIV-positive men who have sex with men. Sex Transm Dis 2007; 34:783–790.
12. Krut JJ, Mellberg T, Price RW, Hagberg L, Fuchs D, Rosengren L, et al. Biomarker evidence of axonal injury in neuroasymptomatic HIV-1 patients. PLoS One 2014; 9:e88591.
13. Hagberg L, Cinque P, Gisslen M, Brew BJ, Spudich S, Bestetti A, et al. Cerebrospinal fluid neopterin: an informative biomarker of central nervous system immune activation in HIV-1 infection. AIDS Res Ther 2010; 7:15.
14. Geisler S, Mayersbach P, Becker K, Schennach H, Fuchs D, Gostner JM. Serum tryptophan, kynurenine, phenylalanine, tyrosine and neopterin concentrations in 100 healthy blood donors. Pteridines 2015; 26:31–36.
15. Gaetani L, Hoglund K, Parnetti L, Pujol-Calderon F, Becker B, Eusebi P, et al. A new enzyme-linked immunosorbent assay for neurofilament light in cerebrospinal fluid: analytical validation and clinical evaluation. Alzheimers Res Ther 2018; 10:8.
16. Yilmaz A, Blennow K, Hagberg L, Nilsson S, Price RW, Schouten J, et al. Neurofilament light chain protein as a marker of neuronal injury: review of its use in HIV-1 infection and reference values for HIV-negative controls. Expert Rev Mol Diagn 2017; 17:761–770.
17. Blennow K, Fredman P, Wallin A, Gottfries CG, Karlsson I, Langstrom G, et al. Protein analysis in cerebrospinal fluid. II. Reference values derived from healthy individuals 18–88 years of age. Eur Neurol 1993; 33:129–133.
18. Tibbling G, Link H, Ohman S. Principles of albumin and IgG analyses in neurological disorders. I. Establishment of reference values. Scand J Clin Lab Invest 1977; 37:385–390.
19. Miners JS, Kehoe PG, Love S, Zetterberg H, Blennow K. CSF evidence of pericyte damage in Alzheimer's disease is associated with markers of blood-brain barrier dysfunction and disease pathology. Alzheimers Res Ther 2019; 11:81.
20. Wang H, Kjellberg I, Sikora P, Rydberg H, Lindh M, Bergstedt O, et al. Hepatitis E virus genotype 3 strains and a plethora of other viruses detected in raw and still in tap water. Water Res 2020; 168:115141.
21. Babor TF, Higgins-Biddle JC, Saunders JB, Monteiro MG. AUDIT. The Alcohol Use Disorders Identification Test: guidelines for use in primary care. 2nd ed.Geneva, Switzerland: World Health Organization. Department of Mental Health and Substance Dependence; 2001.
22. Berman AH, Bergman H, Palmstierna T, Schlyter F. DUDIT Manual. The Drug Use Disorders Identification Test. Stockholm, Sweden: Karolinska Institute, Department of Clinical Neuroscience; 2005.
23. Helleberg M, Afzal S, Kronborg G, Larsen CS, Pedersen G, Pedersen C, et al. Mortality attributable to smoking among HIV-1-infected individuals: a nationwide, population-based cohort study. Clin Infect Dis 2013; 56:727–734.
24. Grant RM, Lama JR, Anderson PL, McMahan V, Liu AY, Vargas L, et al. Preexposure chemoprophylaxis for HIV prevention in men who have sex with men. N Engl J Med 2010; 363:2587–2599.
25. Hess KL, Chavez PR, Kanny D, DiNenno E, Lansky A, PazBailey G. Binge drinking and risky sexual behavior among HIV negative and unknown HIV status men who have sex with men, 20 US cities. Drug Alcohol Depend 2015; 147:46–52.
26. Kahler CW, Wray TB, Pantalone DW, Kruis RD, Mastroleo NR, Monti PM, et al. Daily associations between alcohol use and unprotected anal sex among heavy drinking HIV-positive men who have sex with men. AIDS Behav 2015; 19:422–430.
27. Anesten B, Yilmaz A, Hagberg L, Zetterberg H, Nilsson S, Brew BJ, et al. Blood-brain barrier integrity, intrathecal immunoactivation, and neuronal injury in HIV. Neurol Neuroimmunol Neuroinflamm 2016; 3:e300.
28. Robain M, Carre N, Dussaix E, Salmon-Ceron D, Meyer L. Incidence and sexual risk factors of cytomegalovirus seroconversion in HIV-infected subjects. The SEROCO Study Group. Sex Transm Dis 1998; 25:476–480.
29. Freeman ML, Mudd JC, Shive CL, Younes S-A, Panigrahi S, Sieg SF, et al. CD8 T-cell expansion and inflammation linked to CMV coinfection in ART-treated HIV infection. Clin Infect Dis 2016; 62:392–396.
30. Hunt PW, Martin JN, Sinclair E, Epling L, Teague J, Jacobson MA, et al. Valganciclovir reduces T cell activation in HIV-infected individuals with incomplete CD4+ T cell recovery on antiretroviral therapy. J Infect Dis 2011; 203:1474–1483.
31. Molina JM, Capitant C, Spire B, Pialoux L, Cotte I, Charreau C, et al. On-demand preexposure prophylaxis in men at high risk for HIV-1 infection. N Engl J Med 2005; 373:2237–2246.
32. McCormack S, Dunn DT, Desai M, Dolling DI, Gafos M, Gilson R, et al. Preexposure prophylaxis to prevent the acquisition of HIV-1 infection (PROUD): effectiveness results from the pilot phase of a pragmatic open-label randomised trial. Lancet 2016; 387:53–60.
33. Gorter RW, Vranizan KM, Osmond DH, Moss AR. Differences in laboratory values in HIV infection by sex, race, and risk group. AIDS 1992; 6:1341–1347.
34. Deac OM, Mills JL, Gardiner CM, Shane B, Quinn L, Midttun Ø, et al. Serum immune system biomarkers neopterin and interleukin-10 are strongly related to tryptophan metabolism in healthy young adults. J Nutr 2016; 146:1801–1806.
Keywords:

biomarkers; cerebrospinal fluid; cytomegalovirus; lifestyle-related factors; neopterin; people living with HIV; preexposure prophylaxis

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