Skip to main content
Erschienen in: Journal of Neuroinflammation 1/2018

Open Access 01.12.2018 | Research

Brain 18F-FDG PET of SIV-infected macaques after treatment interruption or initiation

verfasst von: William Schreiber-Stainthorp, Sanhita Sinharay, Sharat Srinivasula, Swati Shah, Jing Wang, Lori Dodd, H. Clifford Lane, Michele Di Mascio, Dima A. Hammoud

Erschienen in: Journal of Neuroinflammation | Ausgabe 1/2018

Abstract

Background

Although rates of severe HIV-associated neurocognitive disorders have declined in the post-antiretroviral treatment (ART) era, subtle deficits persist, possibly exacerbated by treatment non-adherence. The actual effects of ART interruption/initiation on brain glucose metabolism as a reflection of viral replication and neuroinflammation remain unclear. Our study investigates how treatment initiation and interruption alter brain glucose metabolism in SIV-infected macaques, using 18F-FDG PET in correlation with plasma and CSF viral loads (VL) and cytokine levels.

Methods

SIV-infected macaques (n = 7) underwent ART initiation only, ART interruption only, or both. Five uninfected animals served as controls. 18F-FDG PET imaging was performed at baseline and 1, 3, and 6 months after treatment modification. Mean and maximum standardized uptake values (SUV) for the whole-brain and subregions were calculated. Plasma and CSF VL and cytokine levels were measured. Paired t tests evaluated acute changes in whole-brain SUV from baseline to 1 month, while mixed-effect linear regression models evaluated changes over multiple timepoints and correlated SUV values with disease markers.

Results

ART interruption was associated with increased SUVmean and SUVmax acutely, after 1 month (SUVmean 95% CI [0.044–0.786 g/ml], p = 0.037; SUVmax 95% CI [0.122–3.167 g/ml], p = 0.041). The correlation between SUV and time, however, was not significant when evaluated across all timepoints. Increased SUVmean and SUVmax correlated with decreased CD4+ and CD8+ T-cell counts and increased plasma VL. SUVmax was positively associated with increases in CSF VL, and there were borderline positive associations between SUVmax and IL-2, and between SUVmean and IL-15. The treatment initiation group showed no associations between imaging and disease biomarkers despite viral suppression, reduced cytokine levels, and increased CD4+ and CD8+ T-cell counts.

Conclusions

ART interruption is associated with increased brain glucose metabolism within 1 month of treatment cessation, which, in concert with increased levels of pro-inflammatory cytokines in the CSF, may reflect neuroinflammation in the setting of viral rebound. Although we cannot assert neurologic damage in association with cerebral hypermetabolism, it is a concerning outcome of ART non-adherence. Treatment initiation, meanwhile, did not result in significant changes in brain metabolism. HIV-induced neuroinflammation may require a longer period to abate than our follow-up period allowed.
Hinweise

Electronic supplementary material

The online version of this article (https://​doi.​org/​10.​1186/​s12974-018-1244-z) contains supplementary material, which is available to authorized users.
Abkürzungen
ART
Antiretroviral therapy
ARV
Antiretroviral
CNS
Central nervous system
CPE
CNS penetration effectiveness
CSF
Cerebrospinal fluid
FDG
Fluorodeoxyglucose
HAND
HIV-associated neurocognitive disorders
HIV
Human immunodeficiency virus
MRI
Magnetic resonance imaging
PET
Positron emission tomography
PLWH
People living with HIV
SIV
Simian immunodeficiency virus
SUV
Standardized uptake value
TM
Treatment modification
TSPO
Translocator protein
VL
Viral load

Background

Since its introduction in the early 1990s, antiretroviral therapy (ART) has significantly decreased the mortality and morbidity and improved the quality of life for people living with HIV (PLWH) [1]. The effectiveness and availability of ART have improved over time: by 2015, 46% of the 36.7 million PLWH had access to ART [2, 3]. While ART is increasingly accessible, adherence to drug regimens depends on a number of factors and can be disrupted by phenomena including poverty, stigma, lack of social support, comorbid psychiatric disorders, and adverse drug effects including GI discomfort, lipodystrophy, renal dysfunction, and sensory neuropathy [410]. Due to these and other factors, ART adherence rates are estimated to be between 56 and 72%, with discipline declining over time, especially for populations with HIV-associated neurocognitive disorders (HAND) [7, 1114].
Research into treatment nonadherence and interruption has documented various negative consequences, including rebounds in the cerebrospinal fluid (CSF) and plasma HIV viral load (VL), increased CSF neurofilament protein and neopterin, lymphocytic pleocytosis, greater likelihood of neurocognitive disorders, and elevated rates of disease and death when compared to continuous treatment [1519]. Of note, despite the extensive evidence of benefit from ART, several studies have shown improvements in neuropsychological outcomes of PLWH after the interruption of ART treatment for periods as long as 96 weeks, adding nuance to our understanding of the effects of ART [16, 20, 21] and the balance between effects of HIV and side-effects of ART.
ART initiation generally suppresses HIV RNA in plasma and CSF, with the latter suppression being especially high for drugs with high central nervous system (CNS) penetration effectiveness (CPE) [22, 23]. High-CPE drugs, however, seem to have cognitive effects that are not fully understood. While some studies link them to improved neuropsychological outcomes, others have found a relationship between their use and an elevated risk of HIV dementia relative to drugs with low CPE [2224]. Furthermore, while the current generation of ART has been effective in reducing rates of HIV dementia compared to the pre-ART era, milder forms of HAND persist [25]. Certain antiretrovirals (ARVs), such as efavirenz, have been specifically implicated as adversely affecting neurocognitive performance, while increased usage of others has been associated with a reduction in white matter volume when measured by magnetic resonance imaging (MRI) [26, 27]. The mechanisms by which ART may be causing toxicity are not fully understood, but various ARVs have been found to inhibit telomerase activity, induce oxidative stress, and interfere with mitochondrial enzymes [2832].
In this study, we wanted to assess the longitudinal effects of ART initiation and interruption on brain glucose metabolism in a controlled setting. In doing so, we hoped to better understand how treatment interruption and resumption—whether medically sanctioned or non-prescribed—impact patients’ brains at the molecular level. Towards this goal, we longitudinally measured alterations in brain glucose metabolism, using positron emission tomography (PET) with 18F-Fluorodeoxyglucose (FDG), and correlated those with changes in CSF and plasma viral load, cytokines, and T lymphocyte counts as a result of treatment interruption and initiation. We anticipated that interrupting the treatment of simian immunodeficiency virus (SIV) infected monkeys would lead to increases in FDG uptake, CSF and plasma viral loads, and levels of inflammatory cytokines and to a decline in lymphocyte counts. We expected that the reverse would occur when treatment was initiated.

Methods

Animal welfare

All procedures were approved by the Animal Care and Use Committee of the National Institutes of Allergy and Infectious Diseases (NIAID), National Institute of Health.

Animals, inoculation, and treatment

Twelve rhesus macaques (Macaca mulatta) were included in the study. Animals were either infected (n = 7, 5 females and 2 males, age = 6.44 ± 1.18 years, weight = 7.62 ± 2.13 kg) or healthy (n = 5, 3 males and 2 females, age = 7.63 ± 3.34 years, weight = 5.66 ± 0.77 kg). Animals that had been infected with either SIVmac251 (n = 4) or SIVE660 (n = 3) were separated into a treatment interruption or a treatment initiation group. The treatment initiation group (n = 5) had been infected for 467.6 ± 48.5 days without treatment. They were placed on an ART regimen consisting of daily subcutaneous injections of tenofivir (PMPA; 20 mg/kg) and emtricitabine (FTC; 30 mg/kg) with raltegravir (20 mg/kg) mixed with food twice per day and observed for 6 months afterwards with follow-up PET scans. The treatment interruption group consisted of three animals from the initiation cohort whose treatment was interrupted after an average of 255 ± 82 days of ART, and two animals who had treatment interruption after 570.5 ± 1.5 days of identical ART. The average duration of treatment prior to interruption for the all five animals in the interruption cohort was 381 ± 167 days. This group was also followed with PET imaging for 6 months after interruption (Additional file 1: Figure S1). The five uninfected animals were imaged once and served as controls.

PET imaging

Baseline static FDG PET scans were completed before treatment modification (TM) with follow-up scans taking place from 1 to 6 months post-TM. Prior to each scan, animals were fasted for 12 h, then anesthetized with ketamine (10 mg/kg) and propofol (0.2 mg/kg), followed by 1.3–2% isoflurane. Animals were placed in a prone position in the scanner (GE Advance scanner or Siemens Biograph mCT PET/CT scanner). Each subject was injected with an intravenous bolus of FDG (5.06 ± 0.25 mCi; 187.03 ± 9.28 MBq), and after an approximately 60-min uptake period, a static scan was performed for 8 min through the brain. The respiration and heart rate of the subjects were monitored and stabilized by adjustments in anesthesia levels.

Image analysis

Standardized uptake values (SUV) for the whole brain and 13 regions of interest (ROI) were measured using PMOD version 3.8 (PMOD Technologies Ltd., Zurich, Switzerland). PET emission scans were co-registered to a template MRI for which ROIs had been drawn in the caudate, putamen, pons, midbrain, prefrontal cortex, frontal cortex, anterior cingulate cortex, insula, temporal lobe, amygdala, hippocampus, thalamus, posterior cingulate cortex, and whole brain. Repeat analysis of whole brain uptake was performed using MIM for confirmation purposes (MIM, version 6.6; MIM Software Inc.).

Viral load and cytokine concentrations

Viral load values were quantified in the plasma and CSF of each animal near the dates of the PET scans (mean time elapsed between scan and assay date = 8.2 ± 4.4 days). Cytokine levels in plasma and CSF were obtained using a MILLIPLEX MAP Non-Human Primate Cytokine Magnetic Bead Panel (Millipore Sigma). Cytokines of particular interest included IL-2, IL-8, IL-10, IL-15, IL-1Ra, and MCP-1. All measurements were performed in duplicate and averaged across trials, except in the case of outlier values which were discarded.

Statistical analysis

Paired t tests were performed for SUVmean and SUVmax between the baseline and 1 month post-TM timepoints. Mixed-effect linear regression models were fitted with SUVmax and SUVmean as outcomes and with time or biomarkers as the covariates. Random intercepts were assumed to account for within-subject correlations. These models were constructed separately for the interruption and initiation groups, in order to gauge whether associations between uptake and disease markers differed by type of treatment modification. Identical analyses were also performed with lumped data, by including animals from both treatment groups, to explore associations between brain metabolism and disease biomarkers irrespective of treatment status. Statistical significance was determined according to p values < 0.05. Direct adjustment for multiplicity (e.g., a Bonferroni adjustment) was not considered for a couple of reasons, including the limited power from small sample sizes typically used in non-human primate studies. Further, many of the hypothesis tests evaluated were on inter-related processes, making Bonferroni provide a conservative adjustment, particularly for an exploratory study.

Results

FDG uptake

SUVmean and SUVmax

Treatment interruption
Average SUVmean and SUVmax values showed significant increases 1 month post-interruption (SUVmean: increase of 0.365 g/ml, or 17.1%, p = 0.037, n = 4; SUVmax: increase of 1.312 g/ml, or 23.9%, p = 0.041, n = 4; Fig. 1). At 3 and 6 months post-interruption, SUVmean and SUVmax values remained elevated over baseline. However, a mixed-effect linear regression model did not find a significant relationship between time and change in SUV values when all time points were considered.
Treatment initiation
Treatment initiation did not result in statistically significant changes in SUVmean or SUVmax at 1, 3, or 6 months post-TM (Fig. 2).

Biomarkers of SIV replication/effects

Treatment interruption

Cessation of treatment was associated with an increase in CSF and plasma viral loads, reduced CD4+ and CD8+ T-cell counts, and reduced CD4/CD8 ratio (Table 1).
Table 1
Laboratory characteristics of animals before and after treatment modification
 
Interruption
Initiation
Baseline
Month 1
Month 3
Month 6
Baseline
Month 1
Month 3
Month 6
CSF VL
0 (0)
272 (409)
16,741 (29,877)
327 (462)
6894 (10,533)
0 (0)
212 (473)
0 (0)
Log CSF VL
0 (0)
1.32 (1.54)
2.41 (2.29)
1.41 (1.99)
2.46 (2.56)
0 (0)
0.60 (1.35)
0 (0)
Plasma VL
3 (5)
79,070 (145,887)
258,608 (303,812)
919,845 (1,300,023)
362,834 (449,170)
41 (67)
20 (33)
8 (8)
Log plasma VL
0.27 (0.45)
4.11 (0.99)
4.10 (2.11)
4.52 (2.47)
4.89 (1.15)
1.15 (0.79)
0.79 (0.80)
0.65 (0.60)
CD4+ cells
783 (363)
576 (295)
450 (345)
526 (343)
235 (85)
487 (331)
444 (107)
648 (135)
Proliferating CD4+ cells
42 (22)
26 (7)
24 (16)
15 (13)
12 (5)
25 (9)
29 (16)
43 (17)
CD8+ cells
807 (424)
726 (385)
710 (427)
636 (350)
424 (256)
763 (483)
585 (415)
664 (258)
Proliferating CD8+ cells
29 (19)
36 (21)
61 (63)
38 (7)
24 (13)
35 (22)
28 (14)
40 (21)
CD4/CD8 ratio
0.98 (0.16)
0.83 (0.20)
0.67 (0.24)
0.80 (0.10)
0.64 (0.20)
0.70 (0.21)
0.93 (0.38)
1.08 (0.35)
Data are shown as mean values with standard deviations in parentheses

Treatment initiation

The introduction of treatment led to a decrease in CSF and plasma viral loads, increased CD4+ T-cell counts, and increased CD4/CD8 ratio (Table 1).

Biomarkers of inflammation

Treatment interruption

Treatment interruption was associated with a general increase in CSF cytokines over the 6-month study period, but its impact on plasma cytokine levels was less consistent (Table 2).
Table 2
Plasma and CSF cytokines of the interruption and initiation cohorts over time
 
Interruption
Initiation
Baseline
Month 1
Month 3
Month 6
Baseline
Month 1
Month 3
Month 6
Plasma
IL-2
5.51 (4.07)
4.25 (5.49)
5.75 (4.349)
2.62 (3.70)
9.10 (6.80)
5.63 (3.88)
5.82 (4.27)
5.85 (2.49)
IL-10
2.98 (6.66)
2.98 (6.66)
2.98 (6.67)
3.56 (5.03)
8.07 (18.04)
0 (0)
1.22 (2.73)
0 (0)
IL-15
5.14 (4.44)
4.67 (4.22)
5.55 (1.95)
3.98 (0.37)
7.14 (4.16)
3.94 (4.14)
4.98 (2.10)
4.83 (3.60)
IL-8
25.59 (20.38)
26.65 (12.01)
77.25 (103.80)
22.61 (8.60)
144.60 (111.00)
18.70 (12.07)
38.39 (25.30)
20.10 (15.11)
IL-1Ra
40.49 (58.85)
38.41 (53.41)
37.48 (42.52)
19.16 (9.24)
26.43 (14.19)
18.73 (9.73)
14.14 (8.96)
17.03 (13.65)
MCP-1
240.3 (65.4)
217.9 (78.7)
204.4 (70.1)
245.5 (182.2)
349.5 (287.8)
266.2 (140.9)
254.1 (190.5)
270.4 (139.4)
CSF
IL-2
16.49 (10.89)
26.28 (23.52)
28.19 (6.96)
32.87 (12.38)
21.25 (14.25)
19.49 (6.29)
23.49 (6.20)
22.81 (8.09)
IL-10
20.89 (13.37)
40.67 (31.34)
35.61 (8.29)
43.68 (18.27)
29.83 (17.83)
33.63 (13.12)
34.61 (6.65)
28.72 (15.97)
IL-15
14.65 (2.93)
16.14 (3.64)
16.54 (5.01)
21.37 (1.65)
19.58 (3.01)
16.83 (2.90)
14.60 (1.53)
18.24 (4.49)
IL-8
10.50 (3.71)
21.23 (21.2)
14.84 (3.40)
25.1 (0.17)
13.61 (4.30)
8.80 (6.58)
10.43 (4.13)
7.90 (2.22)
IL-1Ra
0.92 (1.85)
5.39 (6.30)
7.13 (4.55)
8.97 (2.73)
8.27 (1.65)
2.20 (4.39)
3.19 (5.53)
1.76 (3.05)
MCP-1
446.7 (76.0)
947.2 (1070.0)
617.1 (153.7)
702.8 (303.5)
641.1 (141.4)
422.2 (121.1)
526.6 (137.6)
481.0 (127.6)
Data are shown as mean values with standard deviations in parentheses

Treatment initiation

CSF levels of IL-8, IL-1Ra, and MCP-1 decreased in the wake of treatment initiation. Plasma cytokine levels decreased to an even greater degree, particularly IL-8 and MCP-1 (Table 2).

Correlations between laboratory parameters and FDG uptake

Lumped data

When longitudinal data were combined, irrespective of treatment status, there was a statistically significant negative correlation between SUVmean and CD4+ T-cell counts (parameter estimate = − 0.001, p = 0.024) and suggestions of negative correlation between SUVmax and CD4+ T-cell count (paramater estimate = − 0.002, p = 0.053) and between SUVmean and CD8+ T-cell count (parameter estimate = − 0.001, p = 0.06).

Treatment interruption

SUVmax
For the treatment interruption cohort, there were significant positive correlations between maximum FDG uptake and log10 CSF viral load (parameter estimate = 0.411, p = 0.023) as well as log10 plasma viral load (parameter estimate = 0.272, p = 0.038), and significant negative correlations between maximum FDG uptake and CD4+ T-cell counts (parameter estimate = − 0.002, p = 0.028) as well as CD8+ T-cell counts (parameter estimate = − 0.002, p = 0.022). There was a suggestion of a positive correlation between SUVmax and CSF IL-2 (parameter estimate = 0.045, p = 0.052). Correlations are summarized in Table 3.
Table 3
Correlations between FDG uptake and markers of disease post-treatment interruption
 
SUVmax
SUVmean
Length of interruption
NS
NS
Log10 CSF viral load
0.411; p = 0.023
NS
Log10 plasma viral load
0.272; p = 0.038
0.068; p = 0.052
CD4+ cell count
− 0.002; p = 0.028
− 0.001; p = 0.01
Proliferating CD4+ cell count
NS
− 0.010; p = 0.033
CD8+ cell count
− 0.002; p = 0.022
− 0.001; p = 0.022
Proliferating CD8+ cell count
NS
NS
CSF IL-2
0.045; p = 0.052
NS
CSF IL-15
NS
0.043; p = 0.048
Data are reported as slope coefficients and p values for each regression analysis
SUVmean
There was a trend towards a positive correlation between mean FDG uptake and CSF IL-15 (parameter estimate = 0.043, p = 0.048), and between mean FDG uptake and log10 plasma viral load (parameter estimate = 0.068, p = 0.052). There were significant negative correlations between mean FDG uptake and CD4+ T-cell counts (parameter estimate = − 0.001, p = 0.01), proliferating CD4+ T-cell counts (parameter estimate = − 0.01, p = 0.033), and CD8+ T-cell counts (parameter estimate = − 0.001, p = 0.022). Correlations are summarized in Table 3.

Treatment initiation condition

After treatment initiation, there were no significant correlations between maximum or mean FDG uptake and individual biomarkers.

Subcompartmental data

There were strong correlations in mean FDG uptake for the whole brain and all subcompartments. The lowest correlation was between the orbital prefrontal (frontal pole) region and the whole brain, with an R2 value of 0.78 (Fig. 3).

Discussion

The current study has clearly demonstrated that discontinuation of ART is associated with increased metabolic activity in the brain as measured by FDG uptake, as early as 1 month after interruption. This is likely due to neuroinflammation secondary to SIV replication and is extremely relevant to patients taking “drug holidays” and to investigational treatment interruption studies. The interruption-induced increases in brain metabolism observed in our experiment were significantly correlated with increased CSF and plasma VL and cytokines and decreased CD4+ and CD8+ T-cell counts.
The concept that glucose metabolism reflects disease activity in HIV/SIV is not new. Although not necessarily concentrating on the brain, previous imaging studies have correlated HIV laboratory and clinical biomarkers to FDG PET data in the periphery: FDG uptake in the lymph nodes, for example, has been correlated with viremia in both treated and untreated patients, and inversely correlated with CD4+ T-cell counts [3335]. Another study performed with SIV-infected monkeys found that tissues with greater FDG uptake, such as the ileocecal lymph nodes, exhibited more productive SIV infection as measured by SIV RNA than did other lymph nodes with lower levels of FDG uptake [36]. Lymph node FDG uptake has also been found to correlate with immunological variables, including percentage of CD8+, CD38+, and RO+ T cells in untreated patients [37]. In the brain, in the pre-ART era, basal ganglia hypermetabolism was described as occurring in the early stages of infection, with eventual transition to cortical and subcortical hypometabolism in more chronic stages of the disease [3840]. This early-stage hypermetabolism was linked to worsened neuropsychological performance and was found in groups of patients with low CD4+ T-cell counts [41, 42]. Our data resemble those findings in that we show hypermetabolism in the setting of ART interruption and viral rebound, though the regional variations described above were not seen in our study, as evidenced by the strong agreement between whole brain and subcompartment uptake of FDG in this study (Fig. 3). This could be due to the short duration of follow-up we had (6 months). Our data, nonetheless, extend previous findings by correlating hypermetabolism in the brain with markers of disease course, most notably drops in CD4+ and CD8+ T-cell counts and increases in plasma and CSF viral loads.
Although we cannot assert neurologic damage in association with increased cerebral metabolism post-interruption, the phenomenon raises concerns about the potential effects of even brief periods of non-adherence to ART. FDG, while not a specific marker of inflammation, often correlates with the neuroinflammatory burden [43]. The hypermetabolism observed in this study, therefore, is likely the result of neuroinflammation in the setting of viral rebound. This possibility is supported by the positive correlations between post-interruption FDG uptake and levels of the CSF cytokines IL-2 and IL-15. Both IL-2 and IL-15 are pro-inflammatory cytokines which share two signaling subunits while having distinct functionality: IL-2 induces T cell, B cell, and NK cell proliferation and cytokine release while IL-15 causes increased activation of CD8+ T-cells [4449]. Levels of IL-2 have been found to be higher in patients with higher viral loads and those with higher CD4+ T-cell counts, while levels of IL-15 have been correlated with higher viral loads and lower CD4+ T-cell counts [50, 51]. The increased levels of these cytokines post-interruption therefore suggest an inflammatory response that is occurring in parallel to increased FDG uptake. The correlation of FDG uptake with CSF, but not plasma, concentrations of IL-2 and IL-15 further suggests that the CNS response may be somewhat disconnected from the peripheral response, and that peripheral measurements may not adequately represent cerebral disease course. Interestingly, there was no further correlation between time post-treatment interruption and change in SUV values beyond the first month of treatment cessation. These data indicate that the effects of interruption on glucose metabolism specifically might be most intense in the acute phase, and stabilize afterward.
The results observed in the treatment initiation group were more heterogeneous than those from interruption. Post-initiation, some animals showed decreases in brain metabolism at months one and three, and there was an average decrease in brain metabolism at month six, but these changes were not consistent or strong enough to reach statistical significance. This was despite a marked reduction, within 1 month, of plasma and CSF viral loads, an increase in CD4+ and CD8+ T-cell counts, and lowered levels of CSF cytokines including IL-1Ra and MCP-1, similar to what has been described previously in association with ART initiation [5256]. The lack of consistent changes in brain metabolism in the wake of treatment initiation and improved measures of disease course may suggest that the abatement or decrease of HIV/SIV-related neuroinflammation requires a longer period than our study spanned. Changes in brain chemistry and function are likely to lag behind changes of conventional disease measures like CD4+ T-cell counts and viral load. This pattern has been shown in other imaging modalities: a magnetic resonance spectroscopy study of ART initiation found that while 3 months of treatment improved the clinical biomarkers of HIV+ patients, levels of brain metabolites that measure brain injury remained abnormal [57]. Other PET studies have more directly monitored cerebral inflammation post-treatment: two groups assessed cerebral levels of the translocator protein (TSPO), a marker of microglial inflammation, finding elevations in TSPO binding for HIV+ individuals even when the subjects were optimally treated and neurocognitively asymptomatic [5860]. Interestingly, one of those studies failed to find an association between TSPO binding and levels of CSF cytokines including eotaxin, MIP-1β, IL-8, and IL-10 [6164]. This finding is notable, as our own experiment failed to find a correlation between FDG uptake and cytokine levels post-initiation, and suggests that treatment with ART may result in an unlinking of these variables under certain circumstances.
Our data should be interpreted with some qualifications. Our sample size is relatively small. The subjects, even within a single cohort, were relatively heterogeneous in terms of baseline cytokine levels which could have played a role in their subsequent reaction to treatment and/or treatment removal. While treatment regimens were carefully considered, one antiretroviral, Raltegravir, was mixed in with food and its intake could be affected by the animal’s eating habits, especially during sickness. Future experiments might address some of these issues, as well as incorporate longer follow-up periods and more frequent sampling, especially within the first month of treatment modification when the most dramatic changes tend to occur. Protocols might also seek to incorporate interruption and initiation guidelines which more closely resemble those used clinically, such as CD4+ T-cell count thresholds or viral load limits that are tied to treatment resumption. For a more direct assessment of inflammation, the usage of radioligands that bind directly to inflammatory markers like the translocator protein (TSPO), a mitochondrial membrane receptor known to be upregulated in activated microglia, would offer an additional perspective on inflammatory changes post-interruption and initiation of ART.

Conclusions

Our study showed that treatment interruption was associated with rapid increases in brain metabolism along with disease intensification, with correlations between imaging and laboratory data. We also showed that treatment initiation, while improving biomarkers of disease, does not moderate pre-treatment brain metabolism within the six-month time period studied. Based on our findings, we believe that even brief gaps in treatment can potentially lead to negative outcomes, both molecularly and functionally. As a whole, our data support modern treatment guidelines, which advocate treatment as early as possible and maximal adherence to ART regimens [65].

Acknowledgements

The authors wish to thank the veterinary and animal care staff of the NIAID for maintaining the non-human primates used in this study, Merck for providing Raltegravir and Gilead for providing Tenofovir and Emtricitabine.

Funding

Funding for this study was provided in part by the Intramural Research program of the National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH) and by the Center for Infectious Diseases, Clinical Center, NIH. This project has also been funded in part with federal funds from the National Cancer Institute, NIH, under Contract No. HHSN261200800001E. The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services nor does mentioning of trade names, commercial products, or organizations imply endorsement by the US Government.

Availability of data and materials

All data and materials are available upon request.

Ethics approval

All procedures were approved by the Animal Care and Use Committee of the National Institutes of Allergy and Infectious Diseases (NIAID), National Institute of Health (NIH).
Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.
Literatur
1.
Zurück zum Zitat Granich R, Gupta S, Hersh B, Williams B, Montaner J, Young B, Zuniga JM. Trends in AIDS deaths, new infections and ART coverage in the top 30 countries with the highest AIDS mortality burden; 1990-2013. PLoS One. 2015;10:e0131353.CrossRefPubMedPubMedCentral Granich R, Gupta S, Hersh B, Williams B, Montaner J, Young B, Zuniga JM. Trends in AIDS deaths, new infections and ART coverage in the top 30 countries with the highest AIDS mortality burden; 1990-2013. PLoS One. 2015;10:e0131353.CrossRefPubMedPubMedCentral
2.
Zurück zum Zitat Teeraananchai S, Kerr SJ, Amin J, Ruxrungtham K, Law MG. Life expectancy of HIV-positive people after starting combination antiretroviral therapy: a meta-analysis. HIV Med. 2017;18:256–66.CrossRefPubMed Teeraananchai S, Kerr SJ, Amin J, Ruxrungtham K, Law MG. Life expectancy of HIV-positive people after starting combination antiretroviral therapy: a meta-analysis. HIV Med. 2017;18:256–66.CrossRefPubMed
4.
Zurück zum Zitat Cornelius T, Jones M, Merly C, Welles B, Kalichman MO, Kalichman SC. Impact of food, housing, and transportation insecurity on ART adherence: a hierarchical resources approach. AIDS Care. 2017;29:449–57.CrossRefPubMed Cornelius T, Jones M, Merly C, Welles B, Kalichman MO, Kalichman SC. Impact of food, housing, and transportation insecurity on ART adherence: a hierarchical resources approach. AIDS Care. 2017;29:449–57.CrossRefPubMed
5.
Zurück zum Zitat Uthman OA, Magidson JF, Safren SA, Nachega JB. Depression and adherence to antiretroviral therapy in low-, middle- and high-income countries: a systematic review and meta-analysis. Curr HIV/AIDS Rep. 2014;11:291–307.CrossRefPubMedPubMedCentral Uthman OA, Magidson JF, Safren SA, Nachega JB. Depression and adherence to antiretroviral therapy in low-, middle- and high-income countries: a systematic review and meta-analysis. Curr HIV/AIDS Rep. 2014;11:291–307.CrossRefPubMedPubMedCentral
6.
Zurück zum Zitat Langebeek N, Gisolf EH, Reiss P, Vervoort SC, Hafsteinsdóttir TB, Richter C, Sprangers MA, Nieuwkerk PT. Predictors and correlates of adherence to combination antiretroviral therapy (ART) for chronic HIV infection: a meta-analysis. BMC Med. 2014;12:142.CrossRefPubMedPubMedCentral Langebeek N, Gisolf EH, Reiss P, Vervoort SC, Hafsteinsdóttir TB, Richter C, Sprangers MA, Nieuwkerk PT. Predictors and correlates of adherence to combination antiretroviral therapy (ART) for chronic HIV infection: a meta-analysis. BMC Med. 2014;12:142.CrossRefPubMedPubMedCentral
7.
Zurück zum Zitat Yun LWH, Maravi M, Kobayashi JS, Barton PL, Davidson AJ. Antidepressant treatment improves adherence to antiretroviral therapy among depressed HIV-infected patients. J Acquir Immune Defic Syndr. 2005;38:432–8.CrossRefPubMed Yun LWH, Maravi M, Kobayashi JS, Barton PL, Davidson AJ. Antidepressant treatment improves adherence to antiretroviral therapy among depressed HIV-infected patients. J Acquir Immune Defic Syndr. 2005;38:432–8.CrossRefPubMed
8.
Zurück zum Zitat Evans SR, Ellis RJ, Chen H, Yeh TM, Lee AJ, Schifitto G, Wu K, Bosch RJ, McArthur JC, Simpson DM, Clifford DB. Peripheral neuropathy in HIV: prevalence and risk factors. AIDS. 2011;25:919–28.CrossRefPubMedPubMedCentral Evans SR, Ellis RJ, Chen H, Yeh TM, Lee AJ, Schifitto G, Wu K, Bosch RJ, McArthur JC, Simpson DM, Clifford DB. Peripheral neuropathy in HIV: prevalence and risk factors. AIDS. 2011;25:919–28.CrossRefPubMedPubMedCentral
9.
Zurück zum Zitat Hawkins T. Understanding and managing the adverse effects of antiretroviral therapy. Antivir Res. 2010;85:201–9.CrossRefPubMed Hawkins T. Understanding and managing the adverse effects of antiretroviral therapy. Antivir Res. 2010;85:201–9.CrossRefPubMed
10.
Zurück zum Zitat Hinkin CH, Castellon SA, Durvasula RS, Hardy DJ, Lam MN, Mason KI, Thrasher D, Goetz MB, Stefaniak M. Medication adherence among HIV+ adults: effects of cognitive dysfunction and regimen complexity. Neurology. 2002;59:1944–50.CrossRefPubMedPubMedCentral Hinkin CH, Castellon SA, Durvasula RS, Hardy DJ, Lam MN, Mason KI, Thrasher D, Goetz MB, Stefaniak M. Medication adherence among HIV+ adults: effects of cognitive dysfunction and regimen complexity. Neurology. 2002;59:1944–50.CrossRefPubMedPubMedCentral
11.
Zurück zum Zitat Genberg BL, Wilson IB, Bangsberg DR, Arnsten J, Goggin K, Remien RH, Simoni J, Gross R, Reynolds N, Rosen M, et al. Patterns of antiretroviral therapy adherence and impact on HIV RNA among patients in North America. AIDS. 2012;26:1415–23.CrossRefPubMedPubMedCentral Genberg BL, Wilson IB, Bangsberg DR, Arnsten J, Goggin K, Remien RH, Simoni J, Gross R, Reynolds N, Rosen M, et al. Patterns of antiretroviral therapy adherence and impact on HIV RNA among patients in North America. AIDS. 2012;26:1415–23.CrossRefPubMedPubMedCentral
12.
Zurück zum Zitat Bangsberg DR, Perry S, Charlebois ED, Clark RA, Roberston M, Zolopa AR, Moss A. Non-adherence to highly active antiretroviral therapy predicts progression to AIDS. AIDS. 2001;15:1181–3. Bangsberg DR, Perry S, Charlebois ED, Clark RA, Roberston M, Zolopa AR, Moss A. Non-adherence to highly active antiretroviral therapy predicts progression to AIDS. AIDS. 2001;15:1181–3.
13.
Zurück zum Zitat Wilson IB, Bangsberg DR, Shen J, Simoni JM, Reynolds NR, Goggin K, Gross R, Arnsten JH, Remien RH, Erlen JA, Liu H. Heterogeneity among studies in rates of decline of antiretroviral therapy adherence over time: results from the multisite adherence collaboration on HIV 14 study. J Acquir Immune Defic Syndr. 2013;64:448–54. Wilson IB, Bangsberg DR, Shen J, Simoni JM, Reynolds NR, Goggin K, Gross R, Arnsten JH, Remien RH, Erlen JA, Liu H. Heterogeneity among studies in rates of decline of antiretroviral therapy adherence over time: results from the multisite adherence collaboration on HIV 14 study. J Acquir Immune Defic Syndr. 2013;64:448–54.
14.
Zurück zum Zitat Kamal S, Locatelli I, Wandeler G, Sehhat A, Bugnon O, Metral M, Du Pasquier R, Gutbrod K, Cavassini M, Schneider MP, Swiss HIVCS. The presence of human immunodeficiency virus-associated neurocognitive disorders is associated with a lower adherence to combined antiretroviral treatment. Open Forum Infect Dis. 2017;4:ofx070.CrossRefPubMedPubMedCentral Kamal S, Locatelli I, Wandeler G, Sehhat A, Bugnon O, Metral M, Du Pasquier R, Gutbrod K, Cavassini M, Schneider MP, Swiss HIVCS. The presence of human immunodeficiency virus-associated neurocognitive disorders is associated with a lower adherence to combined antiretroviral treatment. Open Forum Infect Dis. 2017;4:ofx070.CrossRefPubMedPubMedCentral
15.
Zurück zum Zitat Gisslen M, Rosengren L, Hagberg L, Deeks SG, Price RW. Cerebrospinal fluid signs of neuronal damage after antiretroviral treatment interruption in HIV-1 infection. AIDS Res Ther. 2005;2:6.CrossRefPubMedPubMedCentral Gisslen M, Rosengren L, Hagberg L, Deeks SG, Price RW. Cerebrospinal fluid signs of neuronal damage after antiretroviral treatment interruption in HIV-1 infection. AIDS Res Ther. 2005;2:6.CrossRefPubMedPubMedCentral
16.
Zurück zum Zitat Price RW, Deeks SG. Antiretroviral drug treatment interruption in human immunodeficiency virus-infected adults: clinical and pathogenetic implications for the central nervous system. J Neuro-Oncol. 2004;10(Suppl 1):44–51. Price RW, Deeks SG. Antiretroviral drug treatment interruption in human immunodeficiency virus-infected adults: clinical and pathogenetic implications for the central nervous system. J Neuro-Oncol. 2004;10(Suppl 1):44–51.
17.
Zurück zum Zitat Munoz-Moreno JA, Fumaz CR, Prats A, Ferrer MJ, Negredo E, Perez-Alvarez N, Molto J, Gomez G, Garolera M, Clotet B. Interruptions of antiretroviral therapy in human immunodeficiency virus infection: are they detrimental to neurocognitive functioning? J Neuro-Oncol. 2010;16:208–18. Munoz-Moreno JA, Fumaz CR, Prats A, Ferrer MJ, Negredo E, Perez-Alvarez N, Molto J, Gomez G, Garolera M, Clotet B. Interruptions of antiretroviral therapy in human immunodeficiency virus infection: are they detrimental to neurocognitive functioning? J Neuro-Oncol. 2010;16:208–18.
18.
Zurück zum Zitat Strategies for Management of Antiretroviral Therapy Study G, Lundgren JD, Babiker A, El-Sadr W, Emery S, Grund B, Neaton JD, Neuhaus J, Phillips AN. Inferior clinical outcome of the CD4+ cell count-guided antiretroviral treatment interruption strategy in the SMART study: role of CD4+ cell counts and HIV RNA levels during follow-up. J Infect Dis. 2008;197:1145–55.CrossRef Strategies for Management of Antiretroviral Therapy Study G, Lundgren JD, Babiker A, El-Sadr W, Emery S, Grund B, Neaton JD, Neuhaus J, Phillips AN. Inferior clinical outcome of the CD4+ cell count-guided antiretroviral treatment interruption strategy in the SMART study: role of CD4+ cell counts and HIV RNA levels during follow-up. J Infect Dis. 2008;197:1145–55.CrossRef
19.
Zurück zum Zitat Danel C, Moh R, Minga A, Anzian A, Ba-Gomis O, Kanga C, Nzunetu G, Gabillard D, Rouet F, Sorho S, et al. CD4-guided structured antiretroviral treatment interruption strategy in HIV-infected adults in West Africa (Trivacan ANRS 1269 trial): a randomised trial. Lancet. 2006;367:1981–9.CrossRefPubMed Danel C, Moh R, Minga A, Anzian A, Ba-Gomis O, Kanga C, Nzunetu G, Gabillard D, Rouet F, Sorho S, et al. CD4-guided structured antiretroviral treatment interruption strategy in HIV-infected adults in West Africa (Trivacan ANRS 1269 trial): a randomised trial. Lancet. 2006;367:1981–9.CrossRefPubMed
20.
Zurück zum Zitat Robertson KR, Su Z, Margolis DM, Krambrink A, Havlir DV, Evans S, Skiest DJ, For the AST. Neurocognitive effects of treatment interruption in stable HIV-positive patients in an observational cohort. Neurology. 2010;74:1260–6.CrossRefPubMedPubMedCentral Robertson KR, Su Z, Margolis DM, Krambrink A, Havlir DV, Evans S, Skiest DJ, For the AST. Neurocognitive effects of treatment interruption in stable HIV-positive patients in an observational cohort. Neurology. 2010;74:1260–6.CrossRefPubMedPubMedCentral
21.
Zurück zum Zitat Childers ME, Woods SP, Letendre S, McCutchan JA, Rosario D, Grant I, Mindt MR, Ellis RJ, San Diego HIVNRCG. Cognitive functioning during highly active antiretroviral therapy interruption in human immunodeficiency virus type 1 infection. J Neuro-Oncol. 2008;14:550–7. Childers ME, Woods SP, Letendre S, McCutchan JA, Rosario D, Grant I, Mindt MR, Ellis RJ, San Diego HIVNRCG. Cognitive functioning during highly active antiretroviral therapy interruption in human immunodeficiency virus type 1 infection. J Neuro-Oncol. 2008;14:550–7.
22.
Zurück zum Zitat Marra CM, Zhao Y, Clifford DB, Letendre S, Evans S, Henry K, Ellis RJ, Rodriguez B, Coombs RW, Schifitto G, et al. Impact of combination antiretroviral therapy on cerebrospinal fluid HIV RNA and neurocognitive performance. AIDS. 2009;23:1359–66.CrossRefPubMedPubMedCentral Marra CM, Zhao Y, Clifford DB, Letendre S, Evans S, Henry K, Ellis RJ, Rodriguez B, Coombs RW, Schifitto G, et al. Impact of combination antiretroviral therapy on cerebrospinal fluid HIV RNA and neurocognitive performance. AIDS. 2009;23:1359–66.CrossRefPubMedPubMedCentral
23.
Zurück zum Zitat Tozzi V, Balestra P, Salvatori MF, Vlassi C, Liuzzi G, Giancola ML, Giulianelli M, Narciso P, Antinori A. Changes in cognition during antiretroviral therapy: comparison of 2 different ranking systems to measure antiretroviral drug efficacy on HIV-associated neurocognitive disorders. J Acquir Immune Defic Syndr. 2009;52:56–63.CrossRefPubMed Tozzi V, Balestra P, Salvatori MF, Vlassi C, Liuzzi G, Giancola ML, Giulianelli M, Narciso P, Antinori A. Changes in cognition during antiretroviral therapy: comparison of 2 different ranking systems to measure antiretroviral drug efficacy on HIV-associated neurocognitive disorders. J Acquir Immune Defic Syndr. 2009;52:56–63.CrossRefPubMed
24.
Zurück zum Zitat Caniglia EC, Cain LE, Justice A, Tate J, Logan R, Sabin C, Winston A, van Sighem A, Miro JM, Podzamczer D, et al. Antiretroviral penetration into the CNS and incidence of AIDS-defining neurologic conditions. Neurology. 2014;83:134–41.CrossRefPubMedPubMedCentral Caniglia EC, Cain LE, Justice A, Tate J, Logan R, Sabin C, Winston A, van Sighem A, Miro JM, Podzamczer D, et al. Antiretroviral penetration into the CNS and incidence of AIDS-defining neurologic conditions. Neurology. 2014;83:134–41.CrossRefPubMedPubMedCentral
25.
26.
Zurück zum Zitat Ciccarelli N, Fabbiani M, Di Giambenedetto S, Fanti I, Baldonero E, Bracciale L, Tamburrini E, Cauda R, De Luca A, Silveri MC. Efavirenz associated with cognitive disorders in otherwise asymptomatic HIV-infected patients. Neurology. 2011;76:1403–9.CrossRefPubMed Ciccarelli N, Fabbiani M, Di Giambenedetto S, Fanti I, Baldonero E, Bracciale L, Tamburrini E, Cauda R, De Luca A, Silveri MC. Efavirenz associated with cognitive disorders in otherwise asymptomatic HIV-infected patients. Neurology. 2011;76:1403–9.CrossRefPubMed
27.
Zurück zum Zitat Jernigan TL, Archibald SL, Fennema-Notestine C, Taylor MJ, Theilmann RJ, Julaton MD, Notestine RJ, Wolfson T, Letendre SL, Ellis RJ, et al. Clinical factors related to brain structure in HIV: the CHARTER study. J Neuro-Oncol. 2011;17:248–57. Jernigan TL, Archibald SL, Fennema-Notestine C, Taylor MJ, Theilmann RJ, Julaton MD, Notestine RJ, Wolfson T, Letendre SL, Ellis RJ, et al. Clinical factors related to brain structure in HIV: the CHARTER study. J Neuro-Oncol. 2011;17:248–57.
28.
Zurück zum Zitat Leeansyah E, Cameron PU, Solomon A, Tennakoon S, Velayudham P, Gouillou M, Spelman T, Hearps A, Fairley C, Smit de V, et al. Inhibition of telomerase activity by human immunodeficiency virus (HIV) nucleos(t)ide reverse transcriptase inhibitors: a potential factor contributing to HIV-associated accelerated aging. J Infect Dis. 2013;207:1157–65.CrossRefPubMed Leeansyah E, Cameron PU, Solomon A, Tennakoon S, Velayudham P, Gouillou M, Spelman T, Hearps A, Fairley C, Smit de V, et al. Inhibition of telomerase activity by human immunodeficiency virus (HIV) nucleos(t)ide reverse transcriptase inhibitors: a potential factor contributing to HIV-associated accelerated aging. J Infect Dis. 2013;207:1157–65.CrossRefPubMed
29.
Zurück zum Zitat Brown LA, Jin J, Ferrell D, Sadic E, Obregon D, Smith AJ, Tan J, Giunta B. Efavirenz promotes beta-secretase expression and increased Abeta1-40,42 via oxidative stress and reduced microglial phagocytosis: implications for HIV associated neurocognitive disorders (HAND). PLoS One. 2014;9:e95500.CrossRefPubMedPubMedCentral Brown LA, Jin J, Ferrell D, Sadic E, Obregon D, Smith AJ, Tan J, Giunta B. Efavirenz promotes beta-secretase expression and increased Abeta1-40,42 via oxidative stress and reduced microglial phagocytosis: implications for HIV associated neurocognitive disorders (HAND). PLoS One. 2014;9:e95500.CrossRefPubMedPubMedCentral
30.
Zurück zum Zitat Akay C, Cooper M, Odeleye A, Jensen BK, White MG, Vassoler F, Gannon PJ, Mankowski J, Dorsey JL, Buch AM, et al. Antiretroviral drugs induce oxidative stress and neuronal damage in the central nervous system. J Neuro-Oncol. 2014;20:39–53. Akay C, Cooper M, Odeleye A, Jensen BK, White MG, Vassoler F, Gannon PJ, Mankowski J, Dorsey JL, Buch AM, et al. Antiretroviral drugs induce oxidative stress and neuronal damage in the central nervous system. J Neuro-Oncol. 2014;20:39–53.
32.
Zurück zum Zitat Zhang Y, Song F, Gao Z, Ding W, Qiao L, Yang S, Chen X, Jin R, Chen D. Long-term exposure of mice to nucleoside analogues disrupts mitochondrial DNA maintenance in cortical neurons. PLoS One. 2014;9:e85637.CrossRefPubMedPubMedCentral Zhang Y, Song F, Gao Z, Ding W, Qiao L, Yang S, Chen X, Jin R, Chen D. Long-term exposure of mice to nucleoside analogues disrupts mitochondrial DNA maintenance in cortical neurons. PLoS One. 2014;9:e85637.CrossRefPubMedPubMedCentral
33.
Zurück zum Zitat Iyengar S, Chin B, Margolick JB, Sabundayo BP, Schwartz DH. Anatomical loci of HIV-associated immune activation and association with viraemia. Lancet. 2003;362:945–50.CrossRefPubMed Iyengar S, Chin B, Margolick JB, Sabundayo BP, Schwartz DH. Anatomical loci of HIV-associated immune activation and association with viraemia. Lancet. 2003;362:945–50.CrossRefPubMed
34.
Zurück zum Zitat Sathekge M, Maes A, Kgomo M, Van de Wiele C. Fluorodeoxyglucose uptake by lymph nodes of HIV patients is inversely related to CD4 cell count. Nucl Med Commun. 2010;31:137–40.CrossRefPubMed Sathekge M, Maes A, Kgomo M, Van de Wiele C. Fluorodeoxyglucose uptake by lymph nodes of HIV patients is inversely related to CD4 cell count. Nucl Med Commun. 2010;31:137–40.CrossRefPubMed
35.
Zurück zum Zitat Brust D, Polis M, Davey R, Hahn B, Bacharach S, Whatley M, Fauci AS, Carrasquillo JA. Fluorodeoxyglucose imaging in healthy subjects with HIV infection: impact of disease stage and therapy on pattern of nodal activation. AIDS. 2006;20:985–93.CrossRefPubMed Brust D, Polis M, Davey R, Hahn B, Bacharach S, Whatley M, Fauci AS, Carrasquillo JA. Fluorodeoxyglucose imaging in healthy subjects with HIV infection: impact of disease stage and therapy on pattern of nodal activation. AIDS. 2006;20:985–93.CrossRefPubMed
36.
Zurück zum Zitat Scharko AM, Perlman SB, PWn H, Hanson JM, Uno H, Pauza CD. Whole body positron emission tomography imaging of simian immunodeficiency virus-infected rhesus macaques. Proc Natl Acad Sci U S A. 1996;93:6425–30.CrossRefPubMedPubMedCentral Scharko AM, Perlman SB, PWn H, Hanson JM, Uno H, Pauza CD. Whole body positron emission tomography imaging of simian immunodeficiency virus-infected rhesus macaques. Proc Natl Acad Sci U S A. 1996;93:6425–30.CrossRefPubMedPubMedCentral
37.
Zurück zum Zitat Lucignani G, Orunesu E, Cesari M, Marzo K, Pacei M, Bechi G, Gori A, Gaito S, Clerici M, Chiti A. FDG-PET imaging in HIV-infected subjects: relation with therapy and immunovirological variables. Eur J Nucl Med Mol Imaging. 2009;36:640–7.CrossRefPubMed Lucignani G, Orunesu E, Cesari M, Marzo K, Pacei M, Bechi G, Gori A, Gaito S, Clerici M, Chiti A. FDG-PET imaging in HIV-infected subjects: relation with therapy and immunovirological variables. Eur J Nucl Med Mol Imaging. 2009;36:640–7.CrossRefPubMed
38.
Zurück zum Zitat von Giesen HJ, Antke C, Hefter H, Wenserski F, Seitz RJ, Arendt G. Potential time course of human immunodeficiency virus type 1-associated minor motor deficits: electrophysiologic and positron emission tomography findings. Arch Neurol. 2000;57:1601–7.CrossRefPubMed von Giesen HJ, Antke C, Hefter H, Wenserski F, Seitz RJ, Arendt G. Potential time course of human immunodeficiency virus type 1-associated minor motor deficits: electrophysiologic and positron emission tomography findings. Arch Neurol. 2000;57:1601–7.CrossRefPubMed
39.
Zurück zum Zitat Andersen AB, Law I, Krabbe KS, Bruunsgaard H, Ostrowski SR, Ullum H, Hojgaard L, Lebech A, Gerstoft J, Kjaer A. Cerebral FDG-PET scanning abnormalities in optimally treated HIV patients. J Neuroinflammation. 2010;7:13.CrossRefPubMedPubMedCentral Andersen AB, Law I, Krabbe KS, Bruunsgaard H, Ostrowski SR, Ullum H, Hojgaard L, Lebech A, Gerstoft J, Kjaer A. Cerebral FDG-PET scanning abnormalities in optimally treated HIV patients. J Neuroinflammation. 2010;7:13.CrossRefPubMedPubMedCentral
40.
Zurück zum Zitat Andersen AB, Law I, Ostrowski SR, Lebech AM, Hoyer-Hansen G, Hojgaard L, Gerstoft J, Ullum H, Kjaer A. Self-reported fatigue common among optimally treated HIV patients: no correlation with cerebral FDG-PET scanning abnormalities. Neuroimmunomodulation. 2006;13:69–75.CrossRefPubMed Andersen AB, Law I, Ostrowski SR, Lebech AM, Hoyer-Hansen G, Hojgaard L, Gerstoft J, Ullum H, Kjaer A. Self-reported fatigue common among optimally treated HIV patients: no correlation with cerebral FDG-PET scanning abnormalities. Neuroimmunomodulation. 2006;13:69–75.CrossRefPubMed
41.
Zurück zum Zitat O'Doherty MJ, Barrington SF, Campbell M, Lowe J, Bradbeer CS. PET scanning and the human immunodeficiency virus-positive patient. J Nucl Med. 1997;38:1575–83.PubMed O'Doherty MJ, Barrington SF, Campbell M, Lowe J, Bradbeer CS. PET scanning and the human immunodeficiency virus-positive patient. J Nucl Med. 1997;38:1575–83.PubMed
42.
Zurück zum Zitat van Gorp WG, Mandelkern MA, Gee M, Hinkin CH, Stern CE, Paz DK, Dixon W, Evans G, Flynn F, Frederick CJ, et al. Cerebral metabolic dysfunction in AIDS: findings in a sample with and without dementia. J Neuropsychiatry Clin Neurosci. 1992;4:280–7.CrossRefPubMed van Gorp WG, Mandelkern MA, Gee M, Hinkin CH, Stern CE, Paz DK, Dixon W, Evans G, Flynn F, Frederick CJ, et al. Cerebral metabolic dysfunction in AIDS: findings in a sample with and without dementia. J Neuropsychiatry Clin Neurosci. 1992;4:280–7.CrossRefPubMed
43.
Zurück zum Zitat Vaidyanathan S, Patel CN, Scarsbrook AF, Chowdhury FU. FDG PET/CT in infection and inflammation--current and emerging clinical applications. Clin Radiol. 2015;70:787–800.CrossRefPubMed Vaidyanathan S, Patel CN, Scarsbrook AF, Chowdhury FU. FDG PET/CT in infection and inflammation--current and emerging clinical applications. Clin Radiol. 2015;70:787–800.CrossRefPubMed
44.
Zurück zum Zitat Waldmann TA. The biology of interleukin-2 and interleukin-15: implications for cancer therapy and vaccine design. Nat Rev Immunol. 2006;6:595–601.CrossRefPubMed Waldmann TA. The biology of interleukin-2 and interleukin-15: implications for cancer therapy and vaccine design. Nat Rev Immunol. 2006;6:595–601.CrossRefPubMed
45.
Zurück zum Zitat Perera PY, Lichy JH, Waldmann TA, Perera LP. The role of interleukin-15 in inflammation and immune responses to infection: implications for its therapeutic use. Microbes Infect. 2012;14:247–61.CrossRefPubMed Perera PY, Lichy JH, Waldmann TA, Perera LP. The role of interleukin-15 in inflammation and immune responses to infection: implications for its therapeutic use. Microbes Infect. 2012;14:247–61.CrossRefPubMed
46.
47.
Zurück zum Zitat Mueller YM, Katsikis PD. IL-15 in HIV infection: pathogenic or therapeutic potential? Eur Cytokine Netw. 2010;21:219–21.PubMed Mueller YM, Katsikis PD. IL-15 in HIV infection: pathogenic or therapeutic potential? Eur Cytokine Netw. 2010;21:219–21.PubMed
48.
Zurück zum Zitat Younes SA, Freeman ML, Mudd JC, Shive CL, Reynaldi A, Panigrahi S, Estes JD, Deleage C, Lucero C, Anderson J, et al. IL-15 promotes activation and expansion of CD8+ T cells in HIV-1 infection. J Clin Invest. 2016;126:2745–56.CrossRefPubMedPubMedCentral Younes SA, Freeman ML, Mudd JC, Shive CL, Reynaldi A, Panigrahi S, Estes JD, Deleage C, Lucero C, Anderson J, et al. IL-15 promotes activation and expansion of CD8+ T cells in HIV-1 infection. J Clin Invest. 2016;126:2745–56.CrossRefPubMedPubMedCentral
49.
Zurück zum Zitat Ring AM, Lin JX, Feng D, Mitra S, Rickert M, Bowman GR, Pande VS, Li P, Moraga I, Spolski R, et al. Mechanistic and structural insight into the functional dichotomy between IL-2 and IL-15. Nat Immunol. 2012;13:1187–95.CrossRefPubMedPubMedCentral Ring AM, Lin JX, Feng D, Mitra S, Rickert M, Bowman GR, Pande VS, Li P, Moraga I, Spolski R, et al. Mechanistic and structural insight into the functional dichotomy between IL-2 and IL-15. Nat Immunol. 2012;13:1187–95.CrossRefPubMedPubMedCentral
50.
Zurück zum Zitat Swaminathan S, Qiu J, Rupert AW, Hu Z, Higgins J, Dewar RL, Stevens R, Rehm CA, Metcalf JA, Sherman BT, et al. Interleukin-15 (IL-15) strongly correlates with increasing HIV-1 viremia and markers of inflammation. PLoS One. 2016;11:e0167091.CrossRefPubMedPubMedCentral Swaminathan S, Qiu J, Rupert AW, Hu Z, Higgins J, Dewar RL, Stevens R, Rehm CA, Metcalf JA, Sherman BT, et al. Interleukin-15 (IL-15) strongly correlates with increasing HIV-1 viremia and markers of inflammation. PLoS One. 2016;11:e0167091.CrossRefPubMedPubMedCentral
51.
Zurück zum Zitat Orsilles MA, Pieri E, Cooke P, Caula C. IL-2 and IL-10 serum levels in HIV-1-infected patients with or without active antiretroviral therapy. APMIS. 2006;114:55–60.CrossRefPubMed Orsilles MA, Pieri E, Cooke P, Caula C. IL-2 and IL-10 serum levels in HIV-1-infected patients with or without active antiretroviral therapy. APMIS. 2006;114:55–60.CrossRefPubMed
52.
Zurück zum Zitat Li TS, Tubiana R, Katlama C, Calvez V, Ait Mohand H, Autran B. Long-lasting recovery in CD4 T-cell function and viral-load reduction after highly active antiretroviral therapy in advanced HIV-1 disease. Lancet. 1998;351:1682–6.CrossRefPubMed Li TS, Tubiana R, Katlama C, Calvez V, Ait Mohand H, Autran B. Long-lasting recovery in CD4 T-cell function and viral-load reduction after highly active antiretroviral therapy in advanced HIV-1 disease. Lancet. 1998;351:1682–6.CrossRefPubMed
53.
Zurück zum Zitat Belkhir L, Jonckheere S, Lhommel R, Vandercam B, Yombi JC. High FDG uptake on FDG-PET scan in HIV-1 infected patient with advanced disease. Acta Clin Belg. 2011;66:419–21.PubMed Belkhir L, Jonckheere S, Lhommel R, Vandercam B, Yombi JC. High FDG uptake on FDG-PET scan in HIV-1 infected patient with advanced disease. Acta Clin Belg. 2011;66:419–21.PubMed
54.
Zurück zum Zitat Hatano H, Vogel S, Yoder C, Metcalf JA, Dewar R, Davey RT Jr, Polis MA. Pre-HAART HIV burden approximates post-HAART viral levels following interruption of therapy in patients with sustained viral suppression. AIDS. 2000;14:1357–63.CrossRefPubMed Hatano H, Vogel S, Yoder C, Metcalf JA, Dewar R, Davey RT Jr, Polis MA. Pre-HAART HIV burden approximates post-HAART viral levels following interruption of therapy in patients with sustained viral suppression. AIDS. 2000;14:1357–63.CrossRefPubMed
55.
Zurück zum Zitat Autran B, Carcelain G, Li TS, Blanc C, Mathez D, Tubiana R, Katlama C, Debre P, Leibowitch J. Positive effects of combined antiretroviral therapy on CD4+ T cell homeostasis and function in advanced HIV disease. Science. 1997;277:112–6.CrossRefPubMed Autran B, Carcelain G, Li TS, Blanc C, Mathez D, Tubiana R, Katlama C, Debre P, Leibowitch J. Positive effects of combined antiretroviral therapy on CD4+ T cell homeostasis and function in advanced HIV disease. Science. 1997;277:112–6.CrossRefPubMed
56.
Zurück zum Zitat Amirayan-Chevillard N, Tissot-Dupont H, Capo C, Brunet C, Dignat-George F, Obadia Y, Gallais H, Mege JL. Impact of highly active anti-retroviral therapy (HAART) on cytokine production and monocyte subsets in HIV-infected patients. Clin Exp Immunol. 2000;120:107–12.CrossRefPubMedPubMedCentral Amirayan-Chevillard N, Tissot-Dupont H, Capo C, Brunet C, Dignat-George F, Obadia Y, Gallais H, Mege JL. Impact of highly active anti-retroviral therapy (HAART) on cytokine production and monocyte subsets in HIV-infected patients. Clin Exp Immunol. 2000;120:107–12.CrossRefPubMedPubMedCentral
57.
Zurück zum Zitat Chang L, Ernst T, Witt MD, Ames N, Walot I, Jovicich J, DeSilva M, Trivedi N, Speck O, Miller EN. Persistent brain abnormalities in antiretroviral-naive HIV patients 3 months after HAART. Antivir Ther. 2003;8:17–26.PubMed Chang L, Ernst T, Witt MD, Ames N, Walot I, Jovicich J, DeSilva M, Trivedi N, Speck O, Miller EN. Persistent brain abnormalities in antiretroviral-naive HIV patients 3 months after HAART. Antivir Ther. 2003;8:17–26.PubMed
58.
Zurück zum Zitat Papadopoulos V, Baraldi M, Guilarte TR, Knudsen TB, Lacapere JJ, Lindemann P, Norenberg MD, Nutt D, Weizman A, Zhang MR, Gavish M. Translocator protein (18kDa): new nomenclature for the peripheral-type benzodiazepine receptor based on its structure and molecular function. Trends Pharmacol Sci. 2006;27:402–9.CrossRefPubMed Papadopoulos V, Baraldi M, Guilarte TR, Knudsen TB, Lacapere JJ, Lindemann P, Norenberg MD, Nutt D, Weizman A, Zhang MR, Gavish M. Translocator protein (18kDa): new nomenclature for the peripheral-type benzodiazepine receptor based on its structure and molecular function. Trends Pharmacol Sci. 2006;27:402–9.CrossRefPubMed
59.
Zurück zum Zitat Garvey LJ, Pavese N, Politis M, Ramlackhansingh A, Brooks DJ, Taylor-Robinson SD, Winston A. Increased microglia activation in neurologically asymptomatic HIV-infected patients receiving effective ART. AIDS. 2014;28:67–72.CrossRefPubMed Garvey LJ, Pavese N, Politis M, Ramlackhansingh A, Brooks DJ, Taylor-Robinson SD, Winston A. Increased microglia activation in neurologically asymptomatic HIV-infected patients receiving effective ART. AIDS. 2014;28:67–72.CrossRefPubMed
60.
Zurück zum Zitat Vera JH, Guo Q, Cole JH, Boasso A, Greathead L, Kelleher P, Rabiner EA, Kalk N, Bishop C, Gunn RN, et al. Neuroinflammation in treated HIV-positive individuals: a TSPO PET study. Neurology. 2016;86:1425–32.CrossRefPubMedPubMedCentral Vera JH, Guo Q, Cole JH, Boasso A, Greathead L, Kelleher P, Rabiner EA, Kalk N, Bishop C, Gunn RN, et al. Neuroinflammation in treated HIV-positive individuals: a TSPO PET study. Neurology. 2016;86:1425–32.CrossRefPubMedPubMedCentral
61.
Zurück zum Zitat Amerio P, Frezzolini A, Feliciani C, Verdolini R, Teofoli P, De Pita O, Puddu P. Eotaxins and CCR3 receptor in inflammatory and allergic skin diseases: therapeutical implications. Curr Drug Targets Inflamm Allergy. 2003;2:81–94.CrossRefPubMed Amerio P, Frezzolini A, Feliciani C, Verdolini R, Teofoli P, De Pita O, Puddu P. Eotaxins and CCR3 receptor in inflammatory and allergic skin diseases: therapeutical implications. Curr Drug Targets Inflamm Allergy. 2003;2:81–94.CrossRefPubMed
62.
Zurück zum Zitat Sherry B, Tekamp-Olson P, Gallegos C, Bauer D, Davatelis G, Wolpe SD, Masiarz F, Coit D, Cerami A. Resolution of the two components of macrophage inflammatory protein 1, and cloning and characterization of one of those components, macrophage inflammatory protein 1 beta. J Exp Med. 1988;168:2251–9.CrossRefPubMed Sherry B, Tekamp-Olson P, Gallegos C, Bauer D, Davatelis G, Wolpe SD, Masiarz F, Coit D, Cerami A. Resolution of the two components of macrophage inflammatory protein 1, and cloning and characterization of one of those components, macrophage inflammatory protein 1 beta. J Exp Med. 1988;168:2251–9.CrossRefPubMed
63.
Zurück zum Zitat Bickel M. The role of interleukin-8 in inflammation and mechanisms of regulation. J Periodontol. 1993;64:456–60.PubMed Bickel M. The role of interleukin-8 in inflammation and mechanisms of regulation. J Periodontol. 1993;64:456–60.PubMed
64.
Zurück zum Zitat Couper KN, Blount DG, Riley EM. IL-10: the master regulator of immunity to infection. J Immunol. 2008;180:5771–7.CrossRefPubMed Couper KN, Blount DG, Riley EM. IL-10: the master regulator of immunity to infection. J Immunol. 2008;180:5771–7.CrossRefPubMed
Metadaten
Titel
Brain 18F-FDG PET of SIV-infected macaques after treatment interruption or initiation
verfasst von
William Schreiber-Stainthorp
Sanhita Sinharay
Sharat Srinivasula
Swati Shah
Jing Wang
Lori Dodd
H. Clifford Lane
Michele Di Mascio
Dima A. Hammoud
Publikationsdatum
01.12.2018
Verlag
BioMed Central
Erschienen in
Journal of Neuroinflammation / Ausgabe 1/2018
Elektronische ISSN: 1742-2094
DOI
https://doi.org/10.1186/s12974-018-1244-z

Weitere Artikel der Ausgabe 1/2018

Journal of Neuroinflammation 1/2018 Zur Ausgabe