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. Author manuscript; available in PMC: 2018 Jun 1.
Published in final edited form as: J Neurovirol. 2017 Feb 28;23(3):460–473. doi: 10.1007/s13365-017-0518-z

Dynamic of CSF and serum biomarkers in HIV-1 subtype C encephalitis with CNS genetic compartmentalization- case study

Sergio M de Almeida 1,3, Indianara Rotta 1,3, Clea E Ribeiro 1, Michelli F Oliveira 2, Antoine Chaillon 2, Ana Paula de Pereira 1, Ana Paula Cunha 1, Marise Zonta 1, Joao França Bents 1, Sonia M Raboni 1, Davey Smith 2, Scott Letendre 2, Ronald J Ellis 2
PMCID: PMC5441962  NIHMSID: NIHMS856502  PMID: 28247269

Abstract

Despite the effective suppression of viremia with antiretroviral (ARV) therapy, HIV can still replicate in the CNS. This was a longitudinal study of the CSF and serum dynamics of several biomarkers related to inflammation, the blood brain barrier, neuronal injury as well IgG intrathecal synthesis in serial samples of CSF and serum from a patient infected with HIV-1 subtype C with CNS compartmentalization.

The phylogenetic analyses of plasma and CSF samples in an acute phase using next-generation-sequencing (NGS) and F-statistics analysis (FST), of C2-V3 haplotypes revealed distinct compartmentalized CSF viruses in paired CSF and peripheral blood mononuclear cell samples (PBMC). The CSF biomarker analysis in this patient showed that symptomatic CSF escape is accompanied by CNS inflammation, high levels of cell and humoral immune biomarkers, CNS barrier dysfunction and an increase in neuronal injury biomarkers with demyelization.

Conclusions

Independent and isolated HIV replication can occur in the CNS, even in HIV-1 subtype C, leading to compartmentalization and development of quasispecies distinct from the peripheral plasma. These immunological aspects of the HIV CNS escape have not been described previously. To our knowledge, this is the first report of CNS HIV escape and compartmentalization in HIV-1 subtype C.

Keywords: HIV, neurologic manifestations, CSF, central nervous system, biomarkers, compartmentalization, new generation sequence, subtype, subtype C

1. Introduction

Despite the effective suppression of viremia with antiretroviral (ARV) therapy, HIV can still replicate in the central nervous system (CNS), with the development of resistant strains in the CNS in patients with acute and sub-acute neurological manifestations (Haggert et al. 1991; Zarate et al. 2007; Harrington et al. 2009). Disagreement between the HIV viral loads in the plasma and CSF is defined by detectable levels of HIV RNA in the cerebrospinal fluid (CSF), indicative of a viral load of >200 copies/mL, when the viral load in the plasma is <50 copies/mL or by an HIV RNA viral load in the CSF that is ≥1 log higher than that in the plasma (Canestri et al. 2010).

HIV-1 subtypes present many structural and functional differences that may influence cellular tropism and organ involvement, including CNS involvement and cognitive impairment. The HIV-1 subtype C has been proposed to be less neuropathogenic than subtype B (Satishchandra et al. 2000), based on an in vitro defective trans-activator of transcription (Tat) chemokine dimotif in the position (C30C31) that might influence cellular trafficking and CNS inflammation (Ranga et al. 2004).

Compartments are defined as anatomical regions that restrict the genetic flow of HIV, thereby enabling viral evolution and divergence from the virus circulating in the peripheral blood. On the other hand, reservoirs are cells or anatomical sites where HIV or HIV-infected cells survive because the viral kinetics is slower than that in the peripheral blood. Compartments and reservoirs protect HIV from specific immune responses, ARV therapy, and biochemical changes, thereby providing an environment for pathogen-host interactions (North et al. 2010; Karris and Smith 2011). The CNS serves as an important reservoir for HIV, due to several specific constitutional characteristics (Haggerty and Stevenson 1991; Zárate et al. 2007; Karris and Smith 2011).

The aims of this study were to study the dynamics of several biomarkers related to inflammation, CNS barriers, neuronal injury as well as IgG intrathecal synthesis. The biomarkers were measured in serial samples of CSF and serum from a patient infected with HIV-1 subtype C with CNS escape and compartmentalization. These immunological aspects of HIV CNS escape have not been described before by previous reports. As far as the authors know, this is the first report of CNS HIV escape in a HIV-1 subtype C infected patient.

2. Methods

2.1. HIV(+) CSF and serum samples

This study was approved by institutional review boards (IRB) at Hospital de Clínicas-UFPR in Brazil, and Brazil National IRB (CONEP).

CSF samples were collected by lumbar puncture: sample 0 (09/28/2008) AIDS diagnostic; sample 1 (01/13/2011); sample A (02/25/2011) collected at the time CSF and blood HIV RNA discordance (HIV CNS escape) was identified, before ARV change; sample B (05/11/2011) 2.5 months after ARV change; sample C (08/18/2012) was collected 18 months after ARV change; sample D (09/18/2013) was collected 31 months after ARV change (Table 1). Samples 0 and 1 were not included in the biomarker dynamic study.

Table 1.

Clinical and laboratory (CSF and blood) characteristics

Sample 0 1 A** B C D
Clinical Parameters
Days after ARV change AIDS diagnostic −42 0 76 545 940
CPE 6 6 9 9 9 9
FIM motor 34 14 53 70
FIM cognitive 17 8 29 32
FIM total 51 22 82 102
IHDS 0* 9.5 12 10
GDS ND* 2.85 2.05 1.06
CSF***
HIV RNA copies/mL 23821 <50 <50 <50
WBC cells/mm3 0.3 26 20 2.5 2.2 2.8
Linphocytes % 92 99 -
Glucosis mg/dL 48 35 38 53 55 57
GL CSF/serum 0.58 0.29 0.48 0.67 0.65
TP mg/dL 33 268 339 75 42 30
LA mmol/L 2.2 3.1 2.8 2.6 1.7 1.7
Albumin mg/L 1770 173 310 157
Q. Alb 91.7 5.3 8.7 5.1
Alb leakage mg/day 843 77 15 12
IgG mg/L 1380 237 334 90.3
Q. IgG 95.2 19 22.4 8.6
IgG syntheses mg/day 398 99 133 29
Blood
Platelets 103μL 94 136 186 205 216
CD4 cells/mm3 6 838 239 382 348
CD8 cells/mm3 85 3991 967 882 624
CD4/CD8 0.07 0.21 0.25 0.43 0.56
HIV RNA copies/mL 69 851 <50 <50 <50
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CSF Sample 0 (date of lumbar puncture 28/09/08); sample 1 (lumbar puncture 13/01/11)

CPE- CNS Penetration Effectiveness Score (Letendre et al. 2010); IHDS- International HIV Dementia Scale (Sacktor et al. 2005); GDS- global deficit score; GL- glucosis; TP- total protein; LA- lactic acid; Alb- albumin

*

Glasgow Coma scale 7 (2+1+4);

**

change ARV scheme to (zidovudine (AZT), efavirenz (EFZ), Lamivudina (3TC); CPE 4+2+3=9)

***

Etiological agent search in all CSF samples by standard microbiological tests: bacteria (gram smear and culture negative); fungus (direct CSF smear, culture and latex to C. neoformans capsular antigen, negative); Mycobacterium tuberculosis (Ziehl smear, culture, PCR negative); virus (PCR for HSV, enterovírus, VZV, CMV, HHV6, HHV7, EBV and JC negative).

Functional Independence Measure (FIM): reference scores- total score 126; motor 91; cognitive 35.

HIV RNA levels in blood and CSF were measured by branched DNA assay (Siemens) with a nominal limit of detection of 50copies/mL. CD4 counts were quantified by flow cytometry (FACSCalibur-Multitest).

CSF samples were collected sequentially from a 27-year-old heterosexual male Caucasian patient. He was a truck driver with 7 years of education. He had the disease since 29 months; HIV/AIDS was diagnosed in 2008. The nadir CD4+ 6 cells/mm3; hemogram and CSF (sample 0, Table 1); HCV and HBV serology negative. ARV therapy was started with a combination of tenofovir (TDF), lamivudine (3TC), efavirenz (EFZ), and a CNS penetration-effectiveness (CPE) rank (Letendre et al. 2010) 1+ 2+ 3= 6. Three months later (12/17/2008), due to dizziness and somnolence, ARV therapy was changed to: atazanavir (ATV), ritonavir (RTV), tenofovir (TDF), CPE 2+ 1+ 1: 4. He was also administered prophylaxis medication with sulfamethoxazole, trimethoprim, and azithromycin. Clinical and laboratorial (CSF and blood) follow-up characteristics are shown in Table 1.

Current Medical History

The patient was hospitalized in January 2011 for 12 days with a history of progressive cognitive impairment, somnolence, confusion, weight loss, and fever starting a month ago. On neurologic examination, there was the presence of paratonia in the four limbs and a palmomental reflex was present. Both signs indicated impairment in the frontal lobe and impairment of intercommunications. Deep tendon reflexes had hyperreflexia (3+/5 in the upper limbs and 4+/5 in the lower limbs). The Glasgow Coma Scale (GCS) score was 14/15. The neurologic abnormalities started subacutely (>2 weeks). CSF cytology and biochemistry, immunological status, and CSF HIV RNA are shown in Table 1 (sample 1). There was recovery without intervention, and the patient was discharged.

Brain magnetic resonance imaging (MRI) at the time of presentation showed white matter hyperintensities on T2-weighted and FLAIR sequences; basal cistern, fissures and cortical sulci slightly increased with age. The morphology of the IV ventricle was preserved in the midline. There were supratentorial ventricular dilations. Diffuse and symmetrical changes in the intensity of the signal through the subcortical white matter, periventricular and semi- oval centers were characterized by a hyperintense signal on T2-weighted sequences and without significant changes in the T1-weighted sequence. Alterations in the supratentorial white matter was suggestive of diffuse encephalopathy (with demyelination and gliosis components). Subcortical atrophy was present and there were no signs of encephalic expansive processes intra- or extra-axis.

After 40 days, the patient was readmitted into the infectious diseases unit of the Hospital de Clínicas da UFPR in a coma, GCS 7 in 15. He was currently adherent to ARV (described above). Empiric treatment to neurotuberculosis was initiated (rifampicin, isoniazid, pyrazinamide and ethambutol) due to the critical clinical status and CSF findings (Table 1, samples 1 and A), although PCR for Mycobacterium tuberculosis was negative and CSF lactic acid was in the normal range. HIV encephalitis was diagnosed and there was escape of HIV in the CNS. The log CSF HIV RNA was 4.4 and log plasma HIV RNA was 2.9 (CSF/plasma= 1.50). The genotypic testing for HIV-1 ARV resistance (sequencing of gag and pol region) showed no ARV resistance; HIV-1 genotyping indicated subtype C (Rotta et al. 2014). The ARV scheme was changed to a regimen with better CNS penetration (zidovudine [AZT], efavirenz [EFZ], lamivudine (3TC); CPE 4+2+3=9. There was progressive clinical improvement. After 16 days of hospitalization (GCS 14/15), the patient was discharged from the hospital. After a change in the ARV scheme, the HIV viral load in the blood persisted and HIV in the CSF was undetectable.

Thirty-one months after the ARV scheme was changed, the patient had good clinical evolution, important improvement in neurologic deficits, persistent difficulty walking, a necessity for orthosis, and he began working again. MRI results remained unaltered; but there was clinical and CSF cytochemistry improvement (Figure 1).

Figure 1.

Figure 1

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Selected MRI images (day 07/24/2012); panels A–D (from up left to down right) show follow-up imaging at 17 months after the time when discordance was identified. Even though neurologic symptoms had resolved, imaging still showed volumetric reduction in the brain parenchyma, large basal cisterns, fissures, cortical sulci, and cerebellar follies. Hippocampal and para-hippocampal areas showed anatomic aspects and normal intensity signals. Large VI ventricles (A), a pervious cerebral aqueduct, a third ventricle and the lateral ventricles were slightly dilated. Confluent areas of hyper-intense signal in T2-weighted and Flair were seen that were hypo-intense in T1 (B, C). Involvement of internal and external capsules were seen in the periventricular areas (D). There are no expansive brain processes intra- or extra-axis. Leukoencephalopathy with periventricular predominance was observed. There was a reduction in leukoencephalopathy compared with previous MRI results.

2.2. HIV(−) control group (n=19)

Although this was a descriptive study, an HIV (−) control group was added because the normal range of the majority of the biomarkers studied were not defined. The HIV(−) group was described previously (de Almeida et al. 2016 a,b).

2.3. Clinical laboratory parameters

HIV RNA levels in the serum and CSF were quantified using a branched DNA assay (Siemens) with a nominal limit of detection at 50 copies/mL. CD4 counts were quantified by flow cytometry (FACSCalibur-Multitest), while nadir CD4 level information was extracted from the medical records.

2.4. CSF and serum biomarkers

Regulated on activation, normal T cell expressed and secreted (RANTES), urokinase plasminogen activator receptor (uPAR) and sCD-14 (R&D Systems, Minneapolis, MN), neopterin (Thermo scientific), neurofilament light (NFL-light, UmanDiagnostic), and myelin basic protein (MBP, Ansh Labs) were quantified by high-sensitivity enzyme-linked immunosorbent assays.

Tumor necrosis factor α (TNFα), interferon γ (IFNγ), interleukin (IL-1β, IL-2, IL-4, IL-6, IL-7, and IL-10), monocyte chemoattractant protein-1 (MCP-1), macrophage inflammatory protein-1 α and β (MIP-1α and β), interferon gamma-induced protein-10 (IP-10) and sE-Selectin, soluble cell adhesion molecules-1 (sVCAM-1), soluble intercellular adhesion molecule-1 (sICAM-1), and metalloproteinase 2, 3 and 9 (MMP-2, -3 and -9) were quantified by multiplex bead suspension array immunoassays (EMD Millipore, Billerica, MA). Phosphorylated Tau-181 (pT-181, Invitrogen) in which primary antibodies were immobilized to dyed fluorescent microspheres. Total Tau, amyloidβ (Aβ 38, 40, 42), soluble amyloid precursor protein α and β (sAPPα and sAPPβ), and tissue inhibitor metalloproteinases 1 and 2 (TIMP-1 and 2) were measured using an electrochemiluminescence assay (Meso Scale Discovery, Rockville, MD). Human β2 microglobulin (β2M) was quantified using the nephelometric method (Dade Behring BNII, Deerfield, IL) with reagent N Latex β2 microglobulin (Siemens Healthcare Diagnostics Products GmbH, Marbug, Germany). Ferritin (Architect, Abbott, Longford, Ireland), as migloglia injury marker.

All samples were assayed concurrently in duplicate according to the manufacturers’ instructions.

Blood-CSF barrier function

CSF and serum albumin were quantified using the nephelometric method (Dade Behring BNII, Deerfield, IL) using antiserum N human albumin (Siemens Healthcare Diagnostics Products GmbH, Marbug, Germany) and VR 7.0–34 mg/Dl (Breebaart et al. 1978). The functional integrity of the blood-CSF barrier was then assessed by the CSF albumin/serum albumin quotient, which was calculated as QAlb = AlbCSF/Albserum. The upper limit of the reference range was age-dependent and it was calculated for each sample with the following equation: QAlb ref = (4 + age (y)/15)×10 −3 (Reiber and Peter 2001). Albumin leakage across the blood-brain barrier over 24 hrs was also calculated. In normal individuals, the albumin BBB leakage range is −5 mg/day to 75 mg/day (Tourtellotte et al. 1989).

IgG intrathecal synthesis

IgG intrathecal synthesis in the CSF was assayed by quantitative and qualitative methods. IgG in the CSF and serum intrathecal were quantified using the nephelometric method (Dade Behring BNII, Deerfield, IL) with antiserum N-human-imunoglobulin (Siemens Healthcare Diagnostics Products GmbH, Marbug, Germany).

Quantitative IgG intrathecal synthesis was assayed by:

  1. IgG intrathecal synthesis for 24 hours (mg/day). To estimate the amount of IgG intrathecal synthesis during the 24 hours (mg/day), the Tourtellotte intrathecal IgG synthesis rate formula was calculated. The reference value was ≤10 mg/day (Tourtellotte 1970; Caroscio et al. 1983):

  2. The IgG hyperbolic function was calculated using Reibergram plots (Reiber 1995).

Qualitative analysis of IgG intrathecal synthesis was assayed in the CSF and serum with an oligoclonal band search using isofocusing in agarose gels followed by IgG immunofixation (Hydragel CSF Isofocusing- Sebia, Norcross, GA).

Viral sequencing, sequence filtering and bioinformatics Analysis

Subsequently, we amplified the HIV-1 env C2-V3 (HXB2 coordinates 6928–7344) region from DNA extracted from CSF cellular pellets and PBMC by Nested PCR using specific primers. Sequencing was performed using NGS 454 GS FLX Titanium (454 Life Sciences, Roche, Branford, Connecticut, USA). Read (FASTA) and quality score files produced by the 454 instruments were further analyzed using a purpose-built bioinformatics pipeline, used by our group in numerous published studies (Fisher et al., 2015; Carter et al., 2015; Wagner et al., 2014). The pipeline is available at https://github.com/veg/HIV-NGS.

Viral compartmentalization was assessed by the F-statistics (Fst), p<0.01 (Hudson et al. 1992) used to measure of genetic distance between populations (Chen and Wang, 2015). Statistical significance was derived via 1,000 population-structure randomization/permutation test. Viral compartmentalization analysis via Fst statistics was repeated using representative haplotypes to guard against possible skewing of allelic frequencies due to PCR amplification.

3. Results

Phylogenetic analyses of CNS compartmentalization

Phylogenetic analyses of C2-V3 region revealed distinct compartmentalized CSF viruses in paired CSF and peripheral blood mononuclear cell (PBMC) samples (Figure 2).

Figure 2. Maximum likelihood tree of partial HIV env sequences (C2-V3) from cerebrospinal fluid (CSF) and peripheral blood mononuclear cells (PBMC).

Figure 2

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It was included on this analysis samples collected when HIV CNS escape was identified (sample A). Tree topology revealed evidence of monophyletic HIV variants in PBMC (black dots) and CSF (grey dots). HIV compartmentalization between PBMC and CSF was confirmed by Fst approach, p<0.01 (Hudson et al., 1992). Viral compartmentalization analysis via Fst statistics was repeated using representative haplotypes to guard against possible skewing of allelic frequencies due to PCR amplification. Viral haplotypes from partial HIV env (C2-V3), generated from cleaned mapped NGS reads with in-house pipeline (https://github.com/veg/HIV-NGS) (Fisher et al., 2015; Carter et al., 2015; Wagner et al., 2014) were realigned using MUSCLE (Edgar, 2004), piped to FastTree 2 (Guindon and Gascuel, 2003) for maximum likelihood trees reconstruction, and subjected to codon-based (MG94) phylogenetic analyses in HyPhy.

Dynamic study of CSF and serum biomarkers

This was a descriptive, longitudinal study of the dynamics of inflammation, cellular and humoral immune responses, the BBB as well as neuronal injury in serially obtained samples of CSF and serum.

Monocyte and macrophage immune activation markers

The levels in the CSF of sCD14, neopterin and β2M were increased in the acute phase (sample A), and levels in sample D were similar to the control. The levels of sCD14 and β2M were normal in the serum, indicating independent CNS production (Table 4).

Table 4.

Neuronal injury, monocyte and macrophage activation biomarkers on cerebrospinal fluid and serum

CSF SERUM
Protein unity A B C D CTRL* A B C D CTRL*
Neuronal Injury Biomarkers
T Tau pg/mL 2723.64 234.2 771.55 137.7 633.7 (531.2; 764.6)
P Tau 181 pg/mL 59.39 200 59.39 162 132.0 (106.5; 179.5)
Aβ-38 pg/mL 899.91 1437.11 1581.10 355.76 2209 (1840; 2509) 9.39 48.60 2.48 7.82 7.226 (2.480; 22.50)
Aβ-40 pg/mL 2390.24 2773.68 3364.22 688.51 4561 (4182; 5116) 99.70 194.30 18.47 114.30 117.9 (108.0; 141.7)
Aβ-42 pg/mL 240.80 221.54 400.92 52.01 618.3 (548.6; 735.0) 8.60 6.66 1.69 7.60 7.98 (5.24; 9.55)
Aβ Total pg/mL 3530.95 4432.32 5346.23 1096.29 7357 (6665; 8316) 117.65 249.56 22.64 129.74 140.6 (121.7; 172.6)
sAPPα ng/mL 4.04 27.80 (16.40; 35.15) 20.59 23.21 (17.99; 30.67)
sAPPβ ng/mL 3.27 35.75 (27.05; 43.35) 1.34 2.569(1.782; 4.716)
sAPPα/β 1.24 0,7557 (0,6007; 0,8710) 15.38 8.68(4.7 8;13.26)
NFL pg/mL 33121.95 15957.32 2351.68 702.52 659.6 (538.8; 801.6)
MBP** ng/mL 10.9 2.98 1.43 0.65 < 1.1
Ferritin *** ng/mL 29.6 7.21 2.82 2.07 5 (3;7) 649.64 211.41 132.83 117.50 12–300
Monocyte and macrophage activation biomarkers
sCD14 pg/mL 1139105 219330.9 90751.61 47545.63 85250 (69540; 100000) 1896669 1832895 1909590 933747 1.4370e+006 (1.3550e+006; 1.5490e+006)
Neopterin nmol/L 188.94 39.82 8.66 7.14 4.985 (4.618;5.641)
β2M**** mg/L 15.5 2.07 6.57 1.38 1.3±0.5 3.77 2,22 2,57 2,19 0.9–3.0
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*

median (IQR);

**

myelin basic protein (MBP) normal range (Greene et al, 2012);

***

Ferritin normal range (Petzold et al, 2002);

****

β 2M normal range (Caudie et al, 2005)

Cellular Immune Response (Cytokines and Chemokines)

The values of cytokines and chemokines in the CSF and serum are shown in Table 2.

Table 2.

Persistence of the inflammatory stimulus in the SNC, cytokines and chemokines biomarkers

CSF SERUM
Protein unity A B C CTRL* A B C CTRL*
Cytokines
IFNy pg/mL 47.15 4.25 3.82 0.8 (0.8;3.1) 6.50 4.21 3.98 4.0(1.97; 7.95)
IL-10 pg/mL 19.9 1.1 1.1 1.1 4.47 1.1 1.1 1.1(1.1; 4.16)
IL-1β pg/mL 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8
IL-2 pg/mL 2.6 1.0 1.0 1.0 0.7 1.0 1.0 1.0(1.0;1.77)
IL-4 pg/mL 4.5 4.5 4.5 4.5 4.5 4.5 4.5 4.5(4.5; 8.8)
IL-6 pg/mL 4.59 1.23 4.0 0.9 (0.9;1.7) 4.06 0.9 0.9 0.9(0.9;1.5)
IL-7 pg/mL 2.44 2.39 2.03 1.4 (1.3;2.0) 10 7.85 5.32 4.6(3.25; 7.78)
TNFα pg/mL 125 7.47 2.73 0.7 (0.7;2.0) 18.02 9.39 5.48 6.4(5.3;8.14)
Chemokines
IP-10 pg/mL 937433 6234 3244 974 (699;1291) 3596 1267 651 400(283;553)
MCP-1 pg/mL 2014 1594 2727 1181 (971;1386) 567 261 586 489(293;697)
MIP-1α pg/mL 38.52 21.01 11.59 10.3 (9.1;11.6) 15.18 2.9 2.9 2.9(2.9;8.6)
MIP-1β pg/mL 45.77 24.57 18.71 9.5 (5.3; 16.8) 68.19 58.93 77.7 56(38;79)
RANTES pg/mL 61,86 9,30 1185 2.0 (1.4;3.4) 19068 272020 18203 59300 (43510;74000)
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*

median (IQR)

Almost all cytokines that were quantified in the CSF were increased in the acute phase (sample A) compared to the control group. TNFα was 179 times increased in the acute phase. The values progressively and slowly decreased to the normal range.

In serum, the cytokines IFNy, IL-10, IL-6, IL-7, and TNFα were increased in sample A. The levels in sample B were similar to the control ranges and were less than TNFα, which reached normal values, in sample C.

All the chemokines that were quantified in the CSF were increased in the acute phase (sample A). IP-10, MCP-1, and MIP-1a were higher in the CSF than the serum indicating intrathecal synthesis. IP10 was 1,000 times higher than the control group and RANTES was increased 30 times in the acute phase.

IP-10 and MIP-1β levels decreased progressively, although they were persistently higher than control group in sample C, indicating they would reach normal values. MCP-1 and RANTES in the CSF were decreased in sample B, increased again in sample C, and were higher than sample A. RANTES was 593 times higher than controls and 19 times than sample A.

In serum, in sample A there was increase only for IP-10 and MIP-1α, which was less than 10 times the control group. Only IP-10 persisted as higher than normal compared with the control group, but with tendency to normalize.

Values in the CSF samples were higher than in serum, indicating intrathecal synthesis of these cytokines independent from serum. This delay in CSF biomarkers decreasing to normal values more than 18 months after the change in the ARV scheme is a clear indication of the persistence of the immunological stimuli in the CNS, despite the control of HIV RNA in the CSF.

Blood CSF and blood brain barriers evaluation

There was great BCSFB dysfunction in the first CSF sample before the ARV change (A). It was normal in samples B and D and there was slight dysfunction in sample C (Table 1; Figure 3). The rate of trans-BBB albumin leakage in 24 hours (Table 1) was increased for samples A (843 mg/day) and B (77 mg/day). Sample C (15 mg/day) and D (12 mg/day) were both normal. The rate of trans-BBB albumin leakage in the control group was, median (IQR), 5(-14.1; 26.5).

Figure 3. Hyperbolic function (Reibergram plot) of blood-CSF barrier function and intrathecal IgG synthesis.

Figure 3

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The graphic shows the dynamics of intrathecal IgG synthesis and blood CSF barrier (BCSFB) dysfunction reconstitution. Hyperbolic functions are a consequence of nonlinear interactions of molecular flux with the CSF flow rate as derived from the laws of diffusion (Reiber 1995). BCSFB dysfunction is indicated on the graphic with the area with vertical stripes; the age-corrected normal range for QAlb was 6×10−3. The plot was generated with CSF Research software. Sample (A) collected at the time when CSF and blood HIV RNA discordance was identified (HIV CNS escape), before ARV change, showed BCSFB dysfunction and 20% of IgG synthesis; sample (B) collected 2.5 months after the ARV change, normal BCSFB and 80% of IgG synthesis, besides clinical neurologic improvement. Sample (C) 18 months after the ARV change, showed BCSFB dysfunction and 75% IgG synthesis. Sample (D) 31 months after the ARV change, normal BCSFB and persistence of IgG synthesis (60%).

The BBB was evaluated by assessing cell adhesion molecules (sE-Selectin, sVCAM-1, sICAM-1, and uPAR), metalloproteinases (MMP-2, -3, and -9) and the respective tissue inhibitor metalloproteinases (TIMP-1 and -2), Table 3. Almost all the biomarkers for BBB disruption were increased in the CSF. MMP-9 was 1,050 times higher than the control group, although it was lower than in serum. This indicated influx of MMP-9 from the serum to the CSF. uPAR and MMP-2 levels were higher in the CSF than serum indicating intrathecal synthesis (Table 3). TIMP-1 and TIMP-2 levels were in the normal range compared with the control group in the acute phase (sample A).

Table 3.

Blood brain barrier biomarkers on cerebrospinal fluid and serum

CSF SERUM
Protein unity A B C CTRL* A B C CTRL*
sE-Selectin ng/mL 0.43 0.08 0.08 0.08 54.98 48.72 77.28 54.3(35.5;75.5)
sVCAM-1 ng/mL 241 129 72 30.4(20.9;45.9) 1492 1036 977 824(724;985)
sICAM-1 ng/mL 1.33 0.26 0.14 0.22(0.16;0.44) 151 19.91 150 118(81;157)
uPAR pg/mL 18560 1085 767 824(722;997) 4517 2476 3505 2115(1987;2495)
MMP-2 pg/mL 45403 21054 9295 9279(8378;10450) 39066 16566 47592 71590(60860;77470)
MMP-3 pg/mL 272 101 292 431(349;551) 2995 949 3835 9268(3065;16470)
MMP-9 pg/mL 15297 2823 122 14.6(7.8;17.1) 376066 24965 57670 79190 (57030;121300)
TIMP-1 pg/mL 46542 49924 50914 34770 (29060;48470) 173624 160489 183804 209500 (183700; 255600)
TIMP-2 pg/mL 40868 65313 60901 44020 (36140;66070) 53001 89189 102390 122400 (105700;141800)
MMP-3/TIMP-1 0.006 0.002 0.006 0.012 (0.008; 0.015) 0.017 0.006 0.021 0.038 (0.013; 0.075)
MMP-9/TIMP-1 0.33 0.06 0.002 0.0003 (0.0002; 0.0007) 2.17 0.16 0.31 0.46 (0.26; 0.60)
MMP-2/TIMP-2 1.11 0.32 0.15 0.15 (0.13; 0.28) 0.74 0.19 0.46 0.57 (0.51; 0.65)
Alb mg/L 1770 173 310 200(159;251) 19300 35700 32900 4200(4100;4450)
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*

median (IQR)

In the CSF, sVCAM-1 and MMP-9 decreased progressively in the second and third CSF samples although they were still higher than that control group. Levels of CSF TIMP-1 and TIMP-2 were higher in sample C, indicating a physiological response to inhibit the respective MMPs. MMMP-9 and MMP-2 levels decreased in sample C and were inhibited by TIMP-1 and TIMP-2, respectively. In the serum, TIMP-1 and TIMP-2 were in the normal range, indicating that the higher values in the CSF were due to intrathecal synthesis.

The types of proteins stimulated in the serum were more limited than in the CSF, and only the levels of sVCAM-1, UPAR, and MMP-9 in serum were increased in sample A. Only uPAR was persistently increased in sample C, although with a tendency to normalize.

Humoral immune response (IgG intrathecal synthesis)

There was IgG intrathecal synthesis in all four samples, and this was higher in the acute phase. There was concordance in all the formulas and in graphic analysis (Table 1, Figure 3). There was presence of oligoclonal bands type 3, analyzed by isoelectric focusing in an agarose gel (Hydragel CSF Isofocusing- Sebia, Norcross, GA). Oligoclonal bands type 3 are defined by the presence of IgG band in CSF and serum, with additional bands in the CSF not present in serum (Andersson et al. 1994). The pattern of oligoclonal bands in the CSF persisted similar in the three sequential samples studied, including the sample (C) collected 18 months after ARV schema change (supplementary figure S1). The IgG quantitative and qualitative analysis indicated persistence of the immunological stimulus in the CNS, with persistent IgG intrathecal production.

CSF and serum neuronal injury biomarkers

There was a neuronal lesion without phosphorylation of Tau proteins (pT-181) in the acute phase. There was a decrease on Aβ- total and Aβ-42 in the CSF. This was important when these values were compared with that in sample A, which were in the control group range (Table 4). This can indicated an increase in amyloidal deposits over time.

NFL is an important marker of axonal injury. It was fifty times higher than controls in the acute phase with slow progression to the normal range reached only in sample D.

CSF MBP is a marker of demyelination. In sample A, it was 10 times higher than the reference values (Greene et al. 2012), reaching normal values in sample C, despite brain MRI (Figure 1) showing intense demyelization signs even with normal CSF MBP values.

CSF cell and biochemistry characteristics

CSF WBCs were reduced to the normal range already in sample (B) after the change in ARV, together with the CSF HIV RNA that was undetectable. The total protein reached the normal range only 18 months after the ARV change (sample C; Table 1).

Longitudinal neuropsychological and functional independence assessment

The neuropsychological (NP) assessment was investigated at three different times. The global deficit score (GDS) was calculated based on a well-established HIV battery of neuropsychological tests, as described previously (de Almeida et al. 2013). The cutoff for GDS was ≥ 0.5. During the hospitalization when CNS HIV escape was diagnosed, it was not possible to perform the NP assessment due to the neurological status of the patient (Table 1). Three months later, the hospitalization NP assessment was measured by GDS. Visit 1 was 2.85, visit 2 (12/02/2011) was GDS 2.05 and visit 3 (02/19/2014) was GDS 1.06. The comparison of results from the 3 assessments suggested that the patient’s performance improved over time. Colored Trail Making scores, a measure of executive function (cognitive flexibility), seemed to show the greatest improvement when comparing all measures. Moreover, scores on the Stroop Test, also a measure of executive function (inhibition), also revealed better results. On the other hand, patient’s scores on both modalities of memory tests, verbal and visual, were still considerably lower than during the previous evaluation as he was able to remember half of the items from the word list and only one of the figures of the stimulus page. The results from the Wisconsin Card Sorting Test also suggested executive function difficulties. In summary, results suggested that the patient improved his performance in specific domains, such as attention, language and information processing and maintained impaired results on memory and learning.

The functional independence was measured by the Functional Independence Measure (FIM) [Granger and Hamilton 1987]; on the first evaluation the patient was dependent for all the activities considered by FIM. There was worsening of functional independence on the second evaluation with dependence in all areas. After the diagnosis of HIV CNS escape and the ARV scheme change, in the fourth evaluation (18 months after the diagnosis), there was great improvement with functional independence in the majority of activities evaluated by the FIM (scores 6 or 7 in 11 of the 18). In seven areas, the patient showed dependence, in five he needed direct supervision (score 5). He needed direct help only for those that required the greatest physical effort and balance, such as walking (score 4) and stair climbing (score 3).

4. Discussion

Our study is the first to show CNS escape and genetic compartmentalization in a patient with HIV subtype C.

This paper will add to the contributions of previous reports (Canestri et al. 2010; van Lelyveld et al. 2010; Katlama et al. 2010; Bogoch et al. 2011; Bingham et al. 2011; Del Palacio et al. 2012; Peluso et al. 2014) by further investigating the dynamics of several biomarkers in the CSF and serum samples of HIV subtype C with genetic HIV CNS compartmentalization. The overall biomarkers longitudinal analysis showed: (1) during the acute phase, the majority of the neuro-inflammation biomarkers studied, including all the β-chemokines, were increased in the CSF, with a slow decrease to normal usually at 18 months after the change in the ARV scheme. (2) The persistence of increased biomarker levels in the CSF during a long period did not follow the improvement in clinical symptoms and control of HIV replication in the CNS, but were consistent with the persistence of MRI alterations. (3) This could be interpreted as persistence of the immunological stimulus in the CNS. (4) The same can be considered for persistent IgG intrathecal synthesis with the presence of oligoclonal bands in all samples. (5) There was very high BCSFB dysfunction that also normalized 18 months after the change in the ARV scheme. The restoration of the function of the BCSFB in this patient followed the improvement of clinical symptoms. (6) There was great neuronal injury in the acute phase with demyelization, which was reduced in the following samples. (7) There was an increase in the β-amyloid deposits over time, and was higher 31 months after the change in the ARV compared to the acute phase, indicating a great impact and interaction on amyloidal metabolism, and persistence of the injury mechanisms. (8) The cellular immune response to HIV in the CSF was different from that in serum. It was stronger in the CNS than in the peripheral blood, indicating that the CNS cellular immune response in HIV infection was compartmentalized, in accordance with previously described (de Almeida et al., 2016B). (9) Several biomarkers had levels higher in the CSF than serum, clearly showing intrathecal production.

HIV genetic compartmentalization is defined when genetic differences, characterizing quasispecies, between HIV in the compartments is detected. Extensive HIV-1 genetic compartmentalization between the periphery and the CNS has been reported in subjects with HAD (Harrington et al. 2005; Schnell et al. 2010). This patient had some described risk factors to CNS escape, despite a relatively reconstituted immune status at the time of evaluation. This patient had CD4 + T cell nadir at 6 cells/mm3, which was lower than a previous report of a median nadir CD4+ T cell count of 55 cells/mm3 (Canestri et al. 2010, Peluso et al. 2014). A history of advanced immunosuppression may confer increased risk for prior enhanced local CNS infection and compartmentalization (Ritola et al. 2005), which, despite peripheral CD4+ T cell improvement, fails to be entirely suppressed by ART. Clinically, the CD4+ T cell nadir might be an important factor to consider in the assessment of a patient with new neurologic abnormalities.

The CSF biomarker analysis of this patient showed that symptomatic CSF escape is accompanied by CNS inflammation, and a moderately reconstituted immune system may play an important role in both eliciting a symptomatic inflammatory response and providing a substrate for ongoing discordant HIV replication within the CNS. The combination of persistent CNS infection and a relatively preserved immune response, including an HIV-specific response, may generate immunopathology in the cases of CSF escape. This is analogous to immune reconstitution inflammatory syndrome, IRIS (Miller et al. 2004), but may differ in that it represents, not the effects of immune reconstitution, but rather a “stable state” of antigen and immune response within the CNS (Peluso et al. 2014).

The hypothesis that β-chemokines would be less stimulated by HIV-1C than in HIV-1B, due to a deletion in the CC dimotif in HIV-1C (Ranga et al. 2004) has been offered. In this case, we showed that there was high stimulation of these chemokines mainly in the acute phase. MCP-1 (CCL2) and RANTES (CCL5), both β-chemokines, were respectively 1.4 and 19 times higher than the first sample at 18 months after the ARV change. Some possibilities to explain this could be considered, such as: (1) ARV CNS toxicity, as the scheme included EFV. (2) IRIS is another possible diagnosis, although this patient did not fulfill the criteria for IRIS because there was immunological restoration at the time of the change in the ARV scheme and because he was asymptomatic during the period of increase in MCP-1 and RANTES. IRIS can occur few months from the ARV initiation or change in the ARV regimen and the nervous system is a frequent target (Riedel et al. 2006; Venkataramana et al. 2006; Berkeley et al. 2008; Johnson and Nath 2010). The frequency of CNS IRIS is 0.6% one year after the start of HAART (Subsai et al. 2006) and 1.2% two years after HAART initiation (Lipman and Breen 2006; Murdoch et al. 2007). (3) CD8 encephalitis must be considered as a differential diagnosis (Lescure et al. 2013).

The increase in TINP-1 and TINP-2 18 months after the ARV change probably indicated a physiologic reaction to control the increase of MMPs, as TIMP-1 is the tissue inhibitor of MMP-9 and MMP-3 and TIMP-2 is the tissue inhibitor of MMP-2. As a response to TIMP increases, MMPs are normal or have a trend to normalize in the third CSF sample.

This patient had very high CSF PBM levels in the acute phase indicating high levels of demyelization, which is suggestive of a destructive process in the brain (Jacque et al. 1982). Viral encephalitis of different causes determines the highest levels of PBM, which were higher than 10 ng/mL (Jacque et al. 1982). Similar to the levels of the present case in the acute phase, the normal range upper limit was 1.1 ng/mL (Greene et al. 2012). Studies on CSF PBM in CNS HIV infection are not common. It has been shown that participants with HIV encephalitis had mild to severe PBM levels (5–5.3 ng/mL) (Pfister et al. 1989; Liuzzi et al. 1992). In the present case, there was normalization of CSF PBM levels despite MRI demyelization.

MRI findings were consistent with those reported in previous cases (Canestri et al. 2010; Bogoch et al. 2011; Del Palacio et al. 2012; Peluso et al. 2014). The MRI alterations persisted during long term follow-up in addition to the clinical improvement and CSF cell, biochemistry, HIV RNA and some biomarker normalization; although there was improvement compared to the initial and previous MRI results. This suggests that this process is associated with findings on imaging that may persist after the resolution of symptoms, and may take months to years to resolve completely (Peluso et al. 2014). The nature of these imaging findings remains incompletely understood (Peluso et al. 2014). MRI finding with white matter hyperintensity on T2-weighted and FLAIR imaging suggest a generalized inflammatory process consistent with diffuse encephalitis, and similar to findings reported in patients failing ART (Langford et al. 2002). The increase in inflammatory biomarkers in the present patient supports the hypothesis of a generalized inflammatory process and diffuse encephalitis.

The CSF pleocytosis in this patient was consistent with cases described previously. Increased WBCs were present in 9 of 10 patients with a median of 14.5 cells/mm3 (range 0–200 cells/mm3). In addition, biochemical abnormalities were also found in 8 of 9 patients and they had elevated CSF protein levels. The median protein level was 105 mg/dL (range, 46–170 mg/dL) (Peluso et al. 2014).

The CSF WBC count was moderately elevated in the acute phase (sample A) as described in the other cases in the same range (Canestri et al. 2010; Peluso et al. 2014). CSF total protein in sample A was very high; that is, 7.5 fold higher than the normal range for lumbar puncture and higher than the levels described by Peluso et al. (2014). CSF total protein with HIV infection can be increased due to BCSF dysfunction, intrathecal immunoglobulin synthesis or both. In this specific case, the cause was both processes.

In the present patient, the presence of CSF oligoclonal bands with a pattern very similar in all samples indicated the persistence of the immunological stimulus, besides denormalization of basic CSF cell and biochemistry characteristics and CSF HIV RNA as undetectable, and with clinical improvement. Oligoclonal bands are markers of antibody intrathecal synthesis. They have been detected in all stages of HIV infection, regardless of the presence or absence of HIV neurological disease (Andersson et al. 1988; Gallo et al. 1988). They are present in 18% to 44% of HIV (+) patients (Goudsmit et al. 1986; McArthur et al. 1988; Gallo et al. 1989).

Increased IgG daily synthesis was observed in 22% to 93% of patients in all clinical stages of HIV infection (Andersson et al. 1988; Marshall et al. 1991; Resnick et al. 1998). The presence of intrathecal IgG synthesis does not necessarily imply neurological damage and may simply indicate the persistence of the virus in the CNS (Sönnerborg et al. 1989; Goswami et al. 1991). HAART does not significantly reduce immune activation, as a significant proportion of patients continue to have macrophage activation signals and an elevated IgG index after treatment (Abdulle et al. 2005; Edén et al. 2007). This was described as not invariably associated with clinical HIV neurological disease (Goudsmit et al. 1986; Elovaara et al. 1987; Reboul et al. 1989; Marshall et al. 1991). All the previous studies of IgG intrathecal synthesis were in HIV-1 subtype B.

This study is different from the previous studies in that: 1) It was a longitudinal dynamic study of humoral and cell-mediated immunological responses, CNS barrier analysis and neuronal injury biomarkers. 2) In previous reports, some patients were on atypical or incomplete regimens (Canestri et al. 2010; van Lelyveld et al 2010; Bogoch et al. 2011) and our patient was on standard ARV regimen. 3) Poor adherence was considered a predisposing factor, as partially reduced adherence may lead to insufficient drug concentrations in the CSF while maintaining satisfactory concentrations in the plasma (Peluso et al. 2014). Our patient had good adherence with reconstituted immune status at the time of evaluation. 4) In the cases reported by Peluso et al. (2014), all patients had a CD4+ T cell nadir <250 cells/mm3, with many below 100 cells/mm3, which was similar to another report of a median nadir CD4+ T cell count of 55 cells/mm3 (Canestri et al. 2010; Del Palacio et al. 2012). In our patient, the nadir was very low (6 cells/mm3), which was in accordance. 5) In the previous reports, the subtype of the patient was not reported. They possibly were subtype B because the cases were from the US (Peluso et al. 2014) or Europe (Canestri et al. 2010). This patient was a HIV-1 subtype C infected patient. 6) This patient was in coma, which is not a frequent neurological presentation, and it was present in 1 of 10 paticipants (Peluso et al. 2014), and aphasia was present in 2 of 10 or 1 of 11 paticipants (Peluso et al. 2014; Canestri et al. 2010 respectively). 7) Usually, the reported cases have not had HIV RNA in the CSF as high as in the present case, which was a strong indication of CNS genetic compartmentalization, which was demonstrated using NGS.

The results of this report must be seem with cautious and can’t be extended to other HIV participants or groups; the present study is not free of limitations. It was a descriptive study with a limited number of samples from the same participant. These findings will serve to future investigations and hypothesis. Future studies with larger sample size with adequate statistical analysis are necessary to validate the results presented here.

Conclusions

Physicians should be aware of this unusual but clinically significant manifestation of HIV disease. The appearance of new neurologic symptoms in the context of standard ART regimens and well-controlled plasma HIV infection warrant an evaluation of the CSF to determine whether CNS isolated viral replication is occurring. Considering the important limitations of the study, we were still able to show that independent and isolated HIV replication can occur in the CNS in HIV-1 subtype C, also leading to compartmentalization and the development of quasispecies distinct from the peripheral plasma. These CSF samples were associated with strong cell and humoral immunological responses and brain lesions. Optimizing ART by using drugs with improved CNS penetration may achieve viral suppression in the CSF with improvement of neurological symptoms. The significance of this case description is on evidencing CNS escape and compartmentalization in other HIV-1 subtypes different than B, and its effects on the CNS including neurological, neuroimaging, BBB function, and inflammation.

Supplementary Material

13365_2017_518_MOESM1_ESM. Figure S1. Sequential qualitative analysis of IgG intrathecal synthesis.

Presence of oligoclonal bands by isoelectric focusing in an agarose gel (Hydragel CSF Isofocusing- Sebia, Norcross, GA). Oligoclonal bands Typo 3 (Andersson et al. 1994); IgG band in CSF and serum, with additional bands in the CSF not present in serum. Sample (A) was collected at the time discordance between HIV RNA in CSF and blood was identified; sample (B) 2.5 months after the ARV change; sample (C) 18 months after ARV schema modification change. The pattern of oligoclonal bands in the CSF was similar in the three samples, indicating persistence of the immunological stimulus.

Acknowledgments

The authors would like to thank Professor Albert Anderson. Emory School of Medicine, Atlanta, USA.

Funding

This work was supported by the following grants: National Institute of Health, NIH R21 MH76651 (Ellis, Ronald J; Almeida, Sergio M.), NIH R01 MH83552 (Smith, David M.), S10 RR31646 (Letendre, Scott), K24 MH097673(Letendre, Scott); University of California, San Diego, Center for AIDS Research (CFAR), an NIH-funded program (P30 AI036214), which is supported by the following NIH Institutes and Centers: NIAID, NCI, NIMH, NIDA, NICHD, NHLBI, NIA, NIGMS, and NIDDK; Ministério da Ciência e Tecnologia/Conselho Nacional de Desenvolvimento Científico e Tecnológico, MCT/CNPq-Universal 014/2008, Brazil (Almeida, Sergio M.).

The HIV Neurobehavioral Research Center (HNRC) is supported by Center award P30MH062512 from NIMH. The San Diego HIV Neurobehavioral Research Center [HNRC] group is affiliated with the University of California, San Diego, the Naval Hospital, San Diego, and the Veterans Affairs San Diego Healthcare System, and includes: Director: Robert K. Heaton, Ph.D., Co-Director: Igor Grant, M.D.; Associate Directors: J. Hampton Atkinson, M.D., Ronald J. Ellis, M.D., Ph.D., and Scott Letendre, M.D.; Center Manager: Thomas D. Marcotte, Ph.D.; Jennifer Marquie-Beck, M.P.H.; Melanie Sherman; Neuromedical Component: Ronald J. Ellis, M.D., Ph.D. (P.I.), Scott Letendre, M.D., J. Allen McCutchan, M.D., Brookie Best, Pharm.D., Rachel Schrier, Ph.D., Debra Rosario, M.P.H.; Neurobehavioral Component: Robert K. Heaton, Ph.D. (P.I.), J. Hampton Atkinson, M.D., Steven Paul Woods, Psy.D., Thomas D. Marcotte, Ph.D., Mariana Cherner, Ph.D., David J. Moore, Ph.D., Matthew Dawson; Neuroimaging Component: Christine Fennema-Notestine, Ph.D. (P.I.), Monte S. Buchsbaum, M.D., John Hesselink, M.D., Sarah L. Archibald, M.A., Gregory Brown, Ph.D., Richard Buxton, Ph.D., Anders Dale, Ph.D., Thomas Liu, Ph.D.; Neurobiology Component: Eliezer Masliah, M.D. (P.I.), Cristian Achim, M.D., Ph.D.; Neurovirology Component: David M. Smith, M.D. (P.I.), Douglas Richman, M.D.; International Component: J. Allen McCutchan, M.D., (P.I.), Mariana Cherner, Ph.D.; Developmental Component: Cristian Achim, M.D., Ph.D.; (P.I.), Stuart Lipton, M.D., Ph.D.; Participant Accrual and Retention Unit: J. Hampton Atkinson, M.D. (P.I.), Jennifer Marquie-Beck, M.P.H.; Data Management and Information Systems Unit: Anthony C. Gamst, Ph.D. (P.I.), Clint Cushman; Statistics Unit: Ian Abramson, Ph.D. (P.I.), Florin Vaida, Ph.D. (Co-PI), Reena Deutsch, Ph.D., Anya Umlauf, M.S.

The views expressed in this article are those of the authors and do not reflect the official policy or position of the Department of the Navy, Department of Defense, nor the United States Government.

Footnotes

Conflict of Interest: SERGIO M. DE ALMEIDA, the author declare that have no conflict of interest.

SONIA MARA RABONI, the author declare that have no conflict of interest.

INDIANARA ROTTA, the author declare that have no conflict of interest.

CLEA E. RIBEIRO, the author declare that have no conflict of interest.

ANA PAULA DE PEREIRA, the author declare that have no conflict of interest.

ANA PAULA CUNHA, the author declare that have no conflict of interest.

MICHELLI F OLIVEIRA, the author declare that have no conflict of interest.

ANTOINE CHAILLON, the author declare that have no conflict of interest.

MARISE ZONTA, the author declare that have no conflict of interest.

JOÃO FRANÇA, the author declare that have no conflict of interest.

DAVEY SMITH, the author declare that have no conflict of interest.

SCOTT LETENDRE, the author declare that have no conflict of interest.

RONALD J. ELLIS, the author declare that have no conflict of interest.

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Associated Data

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Supplementary Materials

13365_2017_518_MOESM1_ESM. Figure S1. Sequential qualitative analysis of IgG intrathecal synthesis.

Presence of oligoclonal bands by isoelectric focusing in an agarose gel (Hydragel CSF Isofocusing- Sebia, Norcross, GA). Oligoclonal bands Typo 3 (Andersson et al. 1994); IgG band in CSF and serum, with additional bands in the CSF not present in serum. Sample (A) was collected at the time discordance between HIV RNA in CSF and blood was identified; sample (B) 2.5 months after the ARV change; sample (C) 18 months after ARV schema modification change. The pattern of oligoclonal bands in the CSF was similar in the three samples, indicating persistence of the immunological stimulus.

NIHMS856502-supplement-13365_2017_518_MOESM1_ESM.doc (214KB, doc)

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