Literature DB >> 34050746

Preliminary In Vivo Evidence of Reduced Synaptic Density in Human Immunodeficiency Virus (HIV) Despite Antiretroviral Therapy.

Julian J Weiss1, Rachela Calvi1, Mika Naganawa2, Takuya Toyonaga2, Shelli F Farhadian1,3, Michelle Chintanaphol1, Jennifer Chiarella1, Ming-Qiang Zheng2, Jim Ropchan2, Yiyun Huang2, Robert H Pietrzak4,5, Richard E Carson2, Serena Spudich1.   

Abstract

BACKGROUND: Synaptic injury is a pathological hallmark of neurological impairment in people living with human immunodeficiency virus (HIV, PLWH), a common complication despite viral suppression with antiretroviral therapy (ART). Measurement of synaptic density in living humans may allow better understanding of HIV neuropathogenesis and provide a dynamic biomarker for therapeutic studies. We applied novel synaptic vesical protein 2A (SV2A) positron emission tomographic (PET) imaging to investigate synaptic density in the frontostriatalthalamic region in PLWH and HIV-uninfected participants.
METHODS: In this cross-sectional pilot study,13 older male PLWH on ART underwent magnetic resonance imaging (MRI) and PET scanning with the SV2A ligand [11C]UCB-J with partial volume correction and had neurocognitive assessments. SV2A binding potential (BPND) in the frontostriatalthalamic circuit was compared to 13 age-matched HIV-uninfected participants and assessed with respect to neurocognitive performance in PLWH.
RESULTS: PLWH had 14% lower frontostriatalthalamic SV2A synaptic density compared to HIV-uninfected (PLWH: mean [SD], 3.93 [0.80]; HIV-uninfected: 4.59 [0.43]; P = .02, effect size 1.02). Differences were observed in widespread additional regions in exploratory analyses. Higher frontostriatalthalamic SV2A BPND associated with better grooved pegboard performance, a measure of motor coordination, in PLWH (r = 0.61, P = .03).
CONCLUSIONS: In a pilot study, SV2A PET imaging reveals reduced synaptic density in older male PLWH on ART compared to HIV-uninfected in the frontostriatalthalamic circuit and other cortical areas. Larger studies controlling for factors in addition to age are needed to determine whether differences are attributable to HIV or comorbidities in PLWH. SV2A imaging is a promising biomarker for studies of neuropathogenesis and therapeutic interventions in HIV.
© The Author(s) 2021. Published by Oxford University Press for the Infectious Diseases Society of America.

Entities:  

Keywords:  HIV; NeuroHIV; PET; brain; synaptic density

Mesh:

Year:  2021        PMID: 34050746      PMCID: PMC8528400          DOI: 10.1093/cid/ciab484

Source DB:  PubMed          Journal:  Clin Infect Dis        ISSN: 1058-4838            Impact factor:   9.079


Despite the widespread use of antiretroviral therapy (ART), 15% to 50% of the 38 million people living with human immunodeficiency virus (HIV, PLWH) are affected by some form of neurological impairment [1, 2]. Current diagnostic tools, including neuropsychological testing and patient-reported functional status, do not discriminate well between the various etiological bases of neurological impairment in PLWH, including impairments due to aging or comorbid conditions. Despite much research into the underlying neuropathogenesis of HIV and the development of neurological impairments, there are currently no clear biological measures that define etiologic subtypes [3]. This notable lack of biomarkers sensitive to neurocognitive impairment in HIV impedes the ability to effectively understand the causes for and develop treatments for neurocognitive dysfunction in PLWH. Postmortem studies have revealed synaptodendritic injury as a hallmark neuropathological feature of neurocognitive impairment in PLWH in the ART era, but tools to measure the specific loss of synaptic density have not been widely available [4-6]. Although regional cerebral atrophy, white matter structural abnormalities, and disruptions in functional connectivity are common features of central nervous system (CNS) disease in HIV that suggest a loss of synaptic density, they are highly variable and nonspecific [1, 7–9]. Structural magnetic resonance imaging (MRI) studies in PLWH have found evidence for involvement of many brain regions, most consistently in the frontal cortex, striatum, and thalamus; however, volume in these regions do not clearly correlate with neurological dysfunction in PLWH on ART [10, 11]. Disrupted frontostriatal functional connectivity has also been shown in functional MRI studies [12-14], consistent with early pathological studies demonstrating regional vulnerability to HIV in the dorsal striatum, mid frontal cortex, thalamus, and hippocampus [5, 15–17]. Although these regions have consistently been implicated in studies using different methodologies, measures that are more specific and discriminatory than volumetric analyses are required to understand and intervene with the underlying substrate of neurologic dysfunction in HIV. The recent development of the [11C]UCB-J radioligand has made noninvasive in vivo estimates of synaptic density possible. [11C]UCB-J binds to the synaptic vesicle glycoprotein 2A (SV2A), which is ubiquitously present in presynaptic nerve terminals throughout the brain [18]. SV2A concentration measured by high-resolution positron emission tomography (PET) imaging effectively reflects the density of nerve terminals, and therefore synaptic density, and has been validated as a measure of synaptic density in prior studies [19]. We capitalized on the availability of this new biomarker to apply the understanding gained by preclinical and autopsy studies in a pilot study investigating synaptic density in living humans with HIV on stable ART. We chose the frontostriatalthalamic circuit, an established functional circuit [20], as our primary region of interest (ROI) based on neuropathological and MRI studies demonstrating regional synaptodendritic injury, brain atrophy, and functional impairment [5, 15–17]. In addition, we hypothesized that loss of synaptic connections in these regions affects neurocognitive function in PLWH despite ART. Therefore, as a secondary analysis, we examined associations between synaptic density in the frontostriatalthalamic circuit and neurocognitive assessments.

METHODS

Participants

Male adults with HIV were recruited from the HIV Reservoirs and Comorbidities study, an established research protocol for neurological studies in PLWH and HIV-uninfected comparison participants at Yale University, between 2019 and 2020. HIV-uninfected participants who had previously completed identical imaging studies in other PET protocols were selected from the Yale PET Center database to achieve adequate sex- and age-matching [21]. HIV participants were required to have documented viral suppression (plasma HIV RNA < 20 copies/mL) on ART for at least 1 year. Exclusion criteria included active substance use disorder and current or past clinically significant neurological illness. Urine toxicology and standardized inventories for alcohol and substance use disorders were used to exclude participants with substance use disorders [22, 23]. Blood and cerebrospinal fluid (CSF) studies were collected as previously described [24]. Interviews were conducted to record ART regimens and historical CD4 nadir. The Yale University Human Investigation Committee and the Radioactive Drug Research Committee approved the study. All participants provided written informed consent before inclusion in the study.

MRI Imaging

All participants underwent structural MRI scanning on a 3-Tesla Siemens Prisma scanner. A 3-dimensional magnetization prepared rapid acquisition gradient echo T1-weighted sequence was used to exclude participants with anatomical abnormalities and for coregistration with PET images to define ROIs. Volumetric segmentation was performed with FreeSurfer 6.0 (Massachusetts General Hospital) image analysis suite [25-27]. FreeSurfer segmented the individual whole head into 109 ROIs. FreeSurfer partially failed on 2 participants due to abnormal intensity in white matter; FreeSurfer failed in the caudate for one of these participants and was redrawn manually. Other mislocated ROIs from those participants were excluded from further analysis.

PET Imaging

Each participant received a [11C]UCB-J PET scan on the High Resolution Research Tomograph (Siemens) for 60 minutes. Before the scan commenced, an arterial line was placed so that the metabolite-corrected arterial input function could be acquired. All PET imaging was performed according to previously described procedures [28].

PET Image Analysis

To control for the contributions of atrophy to the PET outcome measures, Iterative Yang partial volume correction (PVC) was performed on dynamic PET data using FreeSurfer ROIs (seeSupplementary Materials) [29]. Regional volumes were calculated in cortical ROIs delineated by FreeSurfer. The primary outcome measure was the binding potential (BPND), a measure of specific binding only and the preferred outcome measure in PET studies, calculated for each ROI using the centrum semiovale as the reference region. Arterial data were not available for one HIV participant, so we applied the simplified reference tissue model 2 (SRTM2) to estimate regional BPND values for all participants (seeSupplementary Materials) [30]. For participants with arterial blood sampling, the 1-tissue compartment (1TC) model was applied to compute the volume of distribution (VT) and BPND was derived (BPND = VT ROI / VT reference – 1). The centrum semiovale has been validated as a reference region as it is nearly devoid of SV2A [19, 31].To generate group averaged PET images, the nonlinear registration was used to transform BPND parametric images to automated anatomical labeling template space.

Neuropsychological Assessment

HIV participants completed a 12 domain neuropsychological battery developed to assess cognitive domains affected by HIV, as previously described [24]. Z-scores were determined based on normative values from published studies, or the test developers’ normative data, with participants matched for age and education, and where possible, gender and race.

Statistical Analysis

Group differences in SV2A-specific binding (BPND) in the primary brain region (frontostriatalthalamic circuit) were assessed using a 2-tailed, independent-samples t test with P < .05 as a threshold for statistical significance. Multiple regression models were conducted to evaluate the relationship between BPND and HIV status, adjusting for individual potential confounders including age, education, and race, as well as for all three covariates together. In a secondary exploratory analysis, a multivariate analysis of variance was conducted to compare SV2A binding in multiple ROIs between the 2 groups. The relationship between BPND and neurocognitive performance in the HIV group was assessed using Pearson correlations. Statistical analysis and procedures were performed using JMP version 15 (SAS) and SPSS v26 (IBM).

RESULTS

Thirteen male adults with virologically suppressed HIV completed the study. Comparison imaging data from thirteen male HIV-uninfected participants were selected from the Yale PET Center database based on age and, when possible, race/ethnicity. Demographic and HIV-specific characteristics are shown in Table 1. HIV-uninfected participants included a smaller proportion of non-White participants (77% of the HIV group,31% of the HIV-uninfected group) and were somewhat more highly educated (mean [SD] 13.4 [2.5] years in HIV participants, 15.1 [1.7] years of education in the HIV-uninfected group) but were well matched on age.
Table 1.

Demographics and Clinical Characteristics of Participants

HIV (n = 13)HIV-uninfected Participants (n = 13) P valuea
Demographic characteristic
 Male sex, no. (%)13 (100)13 (100)N/A
 Age, mean (SD), y59.8 (5.1)57.3 (6.8).29
 Non-White race, no. (%)10 (77)4 (31).02
 Hispanic, no. (%)2 (15)0 (0).14
 BMI, mean (SD), kg/m228.9 (5.5)29.2 (3.1).87
 Education, mean (SD), yb13.4 (2.5)15.1 (1.7).06
 History of SUD, no. (%)8 (62)N/AN/A
 History of AUD, no. (%)5 (38)N/AN/A
 Smoking
  Current, no. (%)5 (38)N/AN/A
  Former, no. (%)4 (31)N/AN/A
HIV-specific characteristic
 CD4+ T cells, median (IQR), cells/μL689 (504, 865)
 CD4+/CD8+ ratio, mean (SD)1.01 (0.44)
 CD4+ nadir, median (IQR), cells/μLc188 (83, 448)
 Plasma HIV RNA < 20 copies/mL, no. (%)11 (85)
 CSF HIV RNA < 20 copies/mL, no. (%)d9 (75)
 CSF white blood cells, mean (SD), cells/μLd3.8 (3.6)
 CSF protein, mean (SD), mg/dLd41 (20)
 CSF:blood albumin ratio, mean (SD)d5.8 (3.7)
 Duration of HIV infection, mean (SD), y23 (16, 28)
 Duration of ART, median (IQR), y22 (12, 25)
 Current NRTI, no. (%)13 (100)
 Current NNRTI, no. (%)4 (31)
 Current integrase inhibitor, no. (%)8 (62)
 Current PI, no. (%)1 (8)
 Current pharmacokinetic enhancer, no. (%)2 (15)

Abbreviations: ART, antiretroviral therapy; AUD, alcohol use disorder; BMI, body mass index; CSF, cerebrospinal fluid; IQR, interquartile range; HIV, human immunodeficiency virus; IQR, interquartile range; N/A, not applicable; NNRTI, non-nucleoside reverse transcriptase inhibitor; NRTI, nucleoside reverse transcriptase inhibitor; PI, protease inhibitor; SUD, substance use disorder.

a P values are Student t test (continuous variables) or χ 2 test (categorical variables).

b n = 11 for the HIV-uninfected participants.

cNadir CD4 count was unavailable for 5 participants.

dOne participant did not have a lumbar puncture.

Demographics and Clinical Characteristics of Participants Abbreviations: ART, antiretroviral therapy; AUD, alcohol use disorder; BMI, body mass index; CSF, cerebrospinal fluid; IQR, interquartile range; HIV, human immunodeficiency virus; IQR, interquartile range; N/A, not applicable; NNRTI, non-nucleoside reverse transcriptase inhibitor; NRTI, nucleoside reverse transcriptase inhibitor; PI, protease inhibitor; SUD, substance use disorder. a P values are Student t test (continuous variables) or χ 2 test (categorical variables). b n = 11 for the HIV-uninfected participants. cNadir CD4 count was unavailable for 5 participants. dOne participant did not have a lumbar puncture.

Group Differences in Synaptic Density in the Frontostriatalthalamic Circuit

HIV participants exhibited significantly lower synaptic density, as defined by [11C]UCB-J SRTM2-derived BPND measurement, in the frontostriatalthalamic circuit, our primary ROI, compared with HIV-uninfected participants. After PVC, frontostriatalthalamic circuit BPND was 14% lower in HIV participants (3.93 [0.80]; 4.59 [0.43]; P = .02) with a large effect size (Cohen’s d = 1.02) (Figure 1A, Supplementary Table 1). This result was largely unchanged when using 1TC-derived BPND or using a weighted average to calculate frontostriatalthalamic BPND (Supplementary Tables 2–4). Frontostriatalthalamic volume was similar in both groups (Supplementary Table 5). A significant group difference remained in the frontostriatalthalamic circuit after the addition of age (P = .03), education (P = .03), or race (P = .03) as a covariate, and effect sizes remained large in magnitude (Cohen’s d range: 0.94–0.99). Group differences did not remain significant when adjusting for age, education, and race together (P = .08).
Figure 1.

Regional mean SV2A binding potential (BPND) after partial volume correction in the (A) frontostriatalthalamic circuit, (B) composite whole gray matter, cortical, and subcortical regions, and (C) all individual secondary regions of interest by group. * P < .05. Error bars represent 95% confidence intervals. Individual data points are shown in panels (A) and (B). C, Exploratory analyses that were not corrected for multiple comparisons. Abbreviation: HIV, human immunodeficiency virus.

Regional mean SV2A binding potential (BPND) after partial volume correction in the (A) frontostriatalthalamic circuit, (B) composite whole gray matter, cortical, and subcortical regions, and (C) all individual secondary regions of interest by group. * P < .05. Error bars represent 95% confidence intervals. Individual data points are shown in panels (A) and (B). C, Exploratory analyses that were not corrected for multiple comparisons. Abbreviation: HIV, human immunodeficiency virus.

Group Differences in Synaptic Density in Secondary HIV-Related Brain Regions and Whole Brain

Exploratory analyses of additional ROIs that have previously been implicated in neurological impairment in PLWH were performed as well. Widespread differences in synaptic density in HIV participants as compared to HIV-uninfected participants were observed, most notably in cortical regions (Figure 1C, Supplementary Table 1), despite similar volumes (Supplementary Table 5). These comparisons were not corrected for multiple comparisons due to the exploratory nature of these analyses in the pilot study. All but one brain region exhibited lower BPND after PVC in HIV participants (percent difference range: 4–22%). We found significantly lower synaptic density in cortical (14.9%), subcortical (11.5%), and whole gray (13.7%) composites (Figure 1B). Among cortical regions, there was significantly lower synaptic density in HIV participants in the parietal (5.54 [1.49]; 6.77 [0.90]; P = .02), occipital (4.94 [1.16]; 6.04 [0.83]; P = .01), and frontal (5.22 [1.28]; 6.08 [0.67]; P = .045) cortices. We observed significantly lower BPND in the parahippocampal gyrus and temporal pole (both temporal cortex), insula, and posterior cingulate. Subcortical regions with lower BPND in HIV participants included the thalamus, hippocampus, striatum, and caudate. Figure 2 illustrates regional and widespread differences in synaptic density in PLWH compared to HIV-uninfected participants using mean group parametric images of BPND values.
Figure 2.

Whole brain is shown in averaged group SV2A binding potential (BPND) parametric images for HIV-uninfected participants (left) and HIV (middle) participants. Magnetic resonance imaging template (right) for reference. Color scale denotes BPND. Abbreviations: HIV, human immunodeficiency virus; MRI, magnetic resonance imaging.

Whole brain is shown in averaged group SV2A binding potential (BPND) parametric images for HIV-uninfected participants (left) and HIV (middle) participants. Magnetic resonance imaging template (right) for reference. Color scale denotes BPND. Abbreviations: HIV, human immunodeficiency virus; MRI, magnetic resonance imaging.

Associations Between Synaptic Density and Neurocognitive Function in PLWH

Relative to normative population data, PLWH performed below average in all but 2 of the 18 neurocognitive tests (Supplementary Table 6). A global average of z-scores for all tests was calculated for each participant. The mean global average z-score for our sample was 1 standard deviation below the normative average (−1.0 [0.8]), indicating impairment in this group. We assessed for correlations between synaptic density in the frontostriatalthalamic circuit and neurocognitive performance in HIV participants (Figure 3). Significant associations were observed between grooved pegboard performance, a measure of motor and executive function, and frontostriatalthalamic BPND (nondominant: r = 0.61, P = .03; dominant: r = 0.54, P = .06). Better performance on the grooved pegboard was also associated with greater hippocampal BPND (nondominant: r = 0.60, P = .03; dominant: r = 0.59, P = .03). There was a trend toward a significant association between Trail Making Test Part A performance, a measure of processing speed, and frontostriatalthalamic (r = 0.54, P = .06) and hippocampal (r = 0.51, P = .08) BPND.
Figure 3.

Association between BPND in the frontostriatalthalamic circuit and neuropsychological test scores. Correlations were computed using Pearson’s r. Abbreviation: BP, binding potential.

Association between BPND in the frontostriatalthalamic circuit and neuropsychological test scores. Correlations were computed using Pearson’s r. Abbreviation: BP, binding potential.

Associations Between Synaptic Density and Demographic and Clinical Measures in PLWH

There was no association between age and frontostriatalthalamic BPND among HIV participants. No other associations were observed in a correlation analysis of the relationship between frontostriatalthalamic synaptic density and other demographic and clinical measures reported in Table 1, including duration of HIV infection and CD4 nadir.

Discussion

In this pilot study, we evaluated synaptic density in PLWH using in vivo SV2A PET imaging. Until now, assessment of synaptic density in HIV has been limited to investigations using postmortem brain tissue. To our knowledge, this is the first study to provide in vivo evidence of significantly lower synaptic density in PLWH in the frontostriatalthalamic circuit, an area consistently implicated in structural and functional MRI studies of neurocognitive dysfunction in PLWH. Exploratory analyses, uncorrected for multiple comparisons, hint at more widespread loss of synaptic density in PLWH. Furthermore, in this small study, lower frontostriatalthalamic BPND was associated with poorer performance on a standardized measure of motor and executive function. This study provides compelling initial evidence that SV2A PET imaging as a research modality can measure in vivo differences in synaptic density in PLWH. Findings of this study provide additional evidence that the frontostriatalthalamic circuit may be implicated in the neuropathology of HIV. Although SV2A PET imaging is a recent development, it has already been used to study synaptic density in Alzheimer’s disease [32], depression [33], post-traumatic stress disorder (PTSD) [33], Parkinson’s disease (PD) [34], schizophrenia [35], and epilepsy [36]. Among other notable findings, one study found large reductions in synaptic density in the seizure onset zone (SOZ) relative to the contralateral side, providing a biomarker for accurately identifying the SOZ in the presurgical evaluation of these patients. In PD, lower synaptic density was observed at earlier stages of PD than previously known. Collectively, these studies have led to novel insights in our understanding of the pathogenesis of these disorders and have already demonstrated utility as biomarkers for treatment monitoring and disease progression. Notable associations with cognitive function testing have been identified in these studies as well. In the current study, we applied this tool to identify synaptic density as a potential biomarker associated with neurocognitive impairment in PLWH. The etiology of CNS dysfunction in people with well-treated HIV is likely multifactorial [37]. Contributing factors for CNS dysfunction in PLWH include legacy effects from CNS damage during initial HIV infection [38], ongoing neuroinflammation and immune activation [39], ART toxicities [40], HIV escape and persistence [41], lifestyle factors, noninfectious comorbidities [42], accelerated aging [43], and mental health disorders. A challenge to better understanding neurocognitive impairment in HIV is separating out key confounders (ie, mood disorders, polypharmacy, substance use) that are common in PLWH [44] from disease-related factors that contribute to brain injury [45]. This has been particularly difficult due to the absence of a sensitive measure of brain pathology. Synaptodendritic injury, a known feature of neurocognitive dysfunction in PLWH, is associated with severity of cognitive injury, with some studies indicating this correlation is stronger than other classic pathologic markers of HIV encephalitis, such as microglial nodules and multinucleated giant cells [46, 47]. There are several proposed mechanisms of synaptic degeneration in HIV, including an inflammatory milieu generated by proliferating immune cells, toxic impact of viral proteins, viral replication, and exposure to methamphetamines and opiates [46, 48–50]. Understanding of synaptodendritic injury and other pathological changes in the brain during HIV infection has been limited by lack of appropriate research modalities. In this study, we found a large magnitude reduction in synaptic density in PLWH after correction for cerebral atrophy despite long-term ART compared with age-matched HIV-uninfected participants. Lower synaptic density in the frontostriatalthalamic pathway is consistent with findings of atrophy in structural MRI studies of PLWH [10, 11] as well as functional MRI studies demonstrating compromised connectivity in this circuit and associations with cognitive impairment [12-14]. This was detected despite the relatively small sample and withstood correction for age and brain atrophy, indicating the potential for SV2A PET imaging as a useful marker of synaptic density in PLWH. Furthermore, even in this small pilot study a significant association was observed between synaptic density in the frontostriatalthalamic circuit and performance on the grooved pegboard test, a measure of motor integration and executive function [51]. Frontostriatal circuits, along with their connections to the thalamus, are known to mediate motor and oculomotor function [52], both of which are important in the grooved pegboard test. In HIV, there is evidence that basal ganglia gray matter (ie, striatum) atrophy is associated with motor dysfunction [53]. There is further evidence of the association between abnormal frontostriatal connectivity and motor and executive dysfunction from studies in PD and schizophrenia [54-56]. Results of this initial study highlight the need for future investigations. Our ongoing longitudinal SV2A study will further elucidate interactions between synaptic loss due to aging with loss due to HIV, including a potential accelerated loss of synaptic density in adults aging with HIV [57]. Furthermore, combining longitudinal SV2A imaging of synaptic density with translocator protein PET imaging of microglia and cerebrospinal fluid measures of immune activation will determine the extent to which neuroinflammation impacts synaptic density and neurocognitive function. SV2A PET imaging may also be useful in elucidating the etiology of CNS injury and cognitive impairment in other acute and chronic viral infections that impact the brain.

Limitations

This pilot study was designed to detect overall group differences between PLWH and age- and sex-matched historical controls; larger studies with prospectively enrolled controls matched for additional clinical and demographic factors are needed to determine the contribution of HIV disease versus comorbidities in PLWH to our findings. There was a significant difference in the racial composition of each group; however, we have no plausible biological reason to expect a difference in synaptic density due to race alone, and the group difference remained significant when race was used as a covariate. Further, frontostriatalthalamic BPND was not associated with race in our cohort, and there is no published evidence that synaptic density in HIV is associated with race, nor have there been studies showing a relationship between synaptic density and race more generally. Drug abuse is known to cause synaptodendritic changes, and although there were no associations between synaptic density and history of substance or alcohol abuse among HIV participants, we were not able to account for these variables in our comparative analyses as this data was not available from the HIV-uninfected group. Similarly, studies with larger samples are needed to further investigate associations between synaptic density and neurocognitive performance, as well as associations with other HIV-associated lab and clinical parameters, such as CD4 nadir and duration of HIV infection, which were not observed in this small study. Finally, our sample was older and entirely male, limiting generalizability. Although a homogeneous cohort is an advantage for this analysis given the small sample size, future studies should focus on recruiting more diverse samples, including women and younger individuals [21].

CONCLUSION

We used novel PET imaging of SV2A to assess synaptic density in a cohort of older male, virologically suppressed HIV participants and demographically similar HIV-uninfected participants, demonstrating lower synaptic density in the frontostriatalthalamic circuit, among other brain regions, in the HIV group. The detection of synaptodendritic injury independent of brain atrophy in PLWH with viral suppression, in association with reduced neurocognitive function, suggests a potentially reversible neuropathology in some PLWH. These pilot observations raise questions regarding the etiology of the differences observed between the 2 groups, which need to be determined in larger studies examining mechanisms underlying synaptic density in diverse populations of PLWH. This method provides promise as a valuable in vivo molecular biomarker of CNS dysfunction in HIV, which may affect up to half of the 38 million PLWH worldwide, as well as an outcome measure for trials of disease-modifying therapies in this population. Click here for additional data file.
  56 in total

Review 1.  Cognitive dysfunction in Parkinson's disease: the role of frontostriatal circuitry.

Authors:  Adrian M Owen
Journal:  Neuroscientist       Date:  2004-12       Impact factor: 7.519

2.  Persistent HIV-infected cells in cerebrospinal fluid are associated with poorer neurocognitive performance.

Authors:  Serena Spudich; Kevin R Robertson; Ronald J Bosch; Rajesh T Gandhi; Joshua C Cyktor; Hanna Mar; Bernard J Macatangay; Christina M Lalama; Charles Rinaldo; Ann C Collier; Catherine Godfrey; Joseph J Eron; Deborah McMahon; Jana L Jacobs; Dianna Koontz; Evelyn Hogg; Alyssa Vecchio; John W Mellors
Journal:  J Clin Invest       Date:  2019-07-15       Impact factor: 14.808

3.  Grooved Pegboard Test as a measure of executive functioning.

Authors:  Kathryn Ann Tolle; Annalise M Rahman-Filipiak; Andrew C Hale; Katherine A Kitchen Andren; Robert J Spencer
Journal:  Appl Neuropsychol Adult       Date:  2019-02-08       Impact factor: 2.248

4.  Antiretroviral therapy reduces neurodegeneration in HIV infection.

Authors:  Alex K Bryant; Ronald J Ellis; Anya Umlauf; Ben Gouaux; Virawudh Soontornniyomkij; Scott L Letendre; Cristian L Achim; Eliezer Masliah; Igor Grant; David J Moore
Journal:  AIDS       Date:  2015-01-28       Impact factor: 4.177

5.  Cortical synaptic density is reduced in mild to moderate human immunodeficiency virus neurocognitive disorder. HNRC Group. HIV Neurobehavioral Research Center.

Authors:  I P Everall; R K Heaton; T D Marcotte; R J Ellis; J A McCutchan; J H Atkinson; I Grant; M Mallory; E Masliah
Journal:  Brain Pathol       Date:  1999-04       Impact factor: 6.508

6.  HIV-associated neurocognitive disorders persist in the era of potent antiretroviral therapy: CHARTER Study.

Authors:  R K Heaton; D B Clifford; D R Franklin; S P Woods; C Ake; F Vaida; R J Ellis; S L Letendre; T D Marcotte; J H Atkinson; M Rivera-Mindt; O R Vigil; M J Taylor; A C Collier; C M Marra; B B Gelman; J C McArthur; S Morgello; D M Simpson; J A McCutchan; I Abramson; A Gamst; C Fennema-Notestine; T L Jernigan; J Wong; I Grant
Journal:  Neurology       Date:  2010-12-07       Impact factor: 9.910

7.  Kinetic evaluation and test-retest reproducibility of [11C]UCB-J, a novel radioligand for positron emission tomography imaging of synaptic vesicle glycoprotein 2A in humans.

Authors:  Sjoerd J Finnema; Nabeel B Nabulsi; Joël Mercier; Shu-Fei Lin; Ming-Kai Chen; David Matuskey; Jean-Dominique Gallezot; Shannan Henry; Jonas Hannestad; Yiyun Huang; Richard E Carson
Journal:  J Cereb Blood Flow Metab       Date:  2017-08-09       Impact factor: 6.200

8.  Subcortical brain atrophy persists even in HAART-regulated HIV disease.

Authors:  James T Becker; Joanne Sanders; Sarah K Madsen; Ann Ragin; Lawrence Kingsley; Victoria Maruca; Bruce Cohen; Karl Goodkin; Eileen Martin; Eric N Miller; Ned Sacktor; Jeffery R Alger; Peter B Barker; Priyanka Saharan; Owen T Carmichael; Paul M Thompson
Journal:  Brain Imaging Behav       Date:  2011-06       Impact factor: 3.978

9.  Regional brain volumetric changes despite 2 years of treatment initiated during acute HIV infection.

Authors:  Kalpana J Kallianpur; Neda Jahanshad; Napapon Sailasuta; Khunthalee Benjapornpong; Phillip Chan; Mantana Pothisri; Netsiri Dumrongpisutikul; Elizabeth Laws; Lishomwa C Ndhlovu; Katherine M Clifford; Robert Paul; Linda Jagodzinski; Shelly Krebs; Jintanat Ananworanich; Serena Spudich; Victor Valcour
Journal:  AIDS       Date:  2020-03-01       Impact factor: 4.632

10.  Microglial activation is inversely associated with cognition in individuals living with HIV on effective antiretroviral therapy.

Authors:  Leah H Rubin; Ned Sacktor; Jason Creighton; Yong Du; Christopher J Endres; Martin G Pomper; Jennifer M Coughlin
Journal:  AIDS       Date:  2018-07-31       Impact factor: 4.632

View more
  7 in total

Review 1.  Neuropathogenesis of HIV-1: insights from across the spectrum of acute through long-term treated infection.

Authors:  Lauren Killingsworth; Serena Spudich
Journal:  Semin Immunopathol       Date:  2022-07-26       Impact factor: 11.759

Review 2.  Synaptic Vesicle Glycoprotein 2A: Features and Functions.

Authors:  Rachele Rossi; Shokouh Arjmand; Simone Larsen Bærentzen; Albert Gjedde; Anne M Landau
Journal:  Front Neurosci       Date:  2022-04-28       Impact factor: 5.152

3.  Imaging Synaptic Architecture in Human Immunodeficiency Virus: Checkpoint for Brain Function?

Authors:  David B Clifford
Journal:  Clin Infect Dis       Date:  2021-10-20       Impact factor: 20.999

Review 4.  Imaging Synaptic Density: The Next Holy Grail of Neuroscience?

Authors:  Maria Elisa Serrano; Eugene Kim; Marija M Petrinovic; Federico Turkheimer; Diana Cash
Journal:  Front Neurosci       Date:  2022-03-25       Impact factor: 4.677

5.  Local molecular and global connectomic contributions to cross-disorder cortical abnormalities.

Authors:  Justine Y Hansen; Golia Shafiei; Jacob W Vogel; Kelly Smart; Carrie E Bearden; Martine Hoogman; Barbara Franke; Daan van Rooij; Jan Buitelaar; Carrie R McDonald; Sanjay M Sisodiya; Lianne Schmaal; Dick J Veltman; Odile A van den Heuvel; Dan J Stein; Theo G M van Erp; Christopher R K Ching; Ole A Andreassen; Tomas Hajek; Nils Opel; Gemma Modinos; André Aleman; Ysbrand van der Werf; Neda Jahanshad; Sophia I Thomopoulos; Paul M Thompson; Richard E Carson; Alain Dagher; Bratislav Misic
Journal:  Nat Commun       Date:  2022-08-10       Impact factor: 17.694

6.  Intraneuronal β-Amyloid Accumulation: Aging HIV-1 Human and HIV-1 Transgenic Rat Brain.

Authors:  Hailong Li; Kristen A McLaurin; Charles F Mactutus; Benjamin Likins; Wenfei Huang; Sulie L Chang; Rosemarie M Booze
Journal:  Viruses       Date:  2022-06-10       Impact factor: 5.818

7.  Neurodegenerative phagocytes mediate synaptic stripping in Neuro-HIV.

Authors:  Giovanni Di Liberto; Kristof Egervari; Mario Kreutzfeldt; Christian M Schürch; Ekkehard Hewer; Ingrid Wagner; Renaud Du Pasquier; Doron Merkler
Journal:  Brain       Date:  2022-08-27       Impact factor: 15.255

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.