Effects of Docosahexanoic Acid on Neurocognitive Impairment in HIV-infected Patients
- Conditions
- Neurocognitive Impairment
- Interventions
- Drug: Docosahexaenoic acid (DHA) capsulesDietary Supplement: Soy oil capsules
- Registration Number
- NCT04242004
- Lead Sponsor
- Fudan University
- Brief Summary
Neurocognitive impairment (NCI) is one of the serious complications of elderly HIV-infected patients. The destruction of intestinal mucosal barrier and imbalance of bacterial flora caused by aging and HIV infection may be an important factor promoting the occurrence of NCI. Therefore, it is important to understand changes in gut microbiota of HIV-infected patients with NCI. Higher dietary intake of the essential fatty acid docosahexaenoic (DHA) has been associated with better cognitive performance in several epidemiological studies. To date, data are limited showing that DHA administration leads to benefits for behavioral disorders by modulating gut microbiota composition; the few studies on this subject, mostly completed in animal models. Moreover,low levels of DHA have been found in HIV-infected patients. The effect of DHA supplementation on gut microbiota and NCI status of HIV-positive patients have not been evaluated yet. Investigators aim to implement a case-control study to identify the relationship between gut microbiota and NCI in HIV-infected patients. At the meantime, investigators aim to implement a randomized, double-blind, placebo-controlled clinical trial to assess DHA supplementation in HIV-infected patients with NCI for 16 weeks. The effect of DHA on gut microbiota and NCI were evaluated. Also, investigators aim to identify if the benefits for NCI of DHA caused by modulating gut microbiota composition and metabolites.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- UNKNOWN
- Sex
- All
- Target Recruitment
- 88
- Male and female patients
- Age ≥18 years
- Established diagnosis of HIV-1 infection, under stable cART for the prior 6 months and throughout the study period
- Presence of neurocognitive impairment was assessed using the global deficit score (GDS), calculated as the average of deficit scores across all neuropsychological test. The cut-off for NCI was a GDS score ≥ 0.5
- Age <18 years,
- BMI >30 kg/m2
- Pregnancy or lactation
- A history of diabetes mellitus, cardiovascular and cerebrovascular diseases, or serious diseases such as liver, kidney and hematopoietic system disease
- Known intolerance to n-3 PUFA preparations.
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Arm && Interventions
Group Intervention Description DHA group Docosahexaenoic acid (DHA) capsules - placebo group Soy oil capsules -
- Primary Outcome Measures
Name Time Method Neurocognitive impairment 16 weeks Participants underwent neurocognitive testing using an internationally validated comprehensive neurocognitive test battery covering 7 cognitive domains: verbal fluency, speed of information processing, executive functioning, learning, memory, attention/working memory and motor skills. Demographically-corrected (age, education, gender) T scores (mean of 50, standard deviation of 10) were developed based upon an age-matched control group. Individual test deficit scores, determined via demographically-adjusted T scores, ranged from 0 (T score of \> 40) to 5 (T score \< 20). Neurocognitive impairment (NCI) was assessed using the global deficit score (GDS), calculated as the average of deficit scores across all neuropsychological test. The cut-off for NCI was a GDS score ≥ 0.5
Gut microbiota 16 weeks Investigators characterized the 16S rDNA fecal microbiome in participants. Shannon diversity index (SDI) was used to evaluate alpha (within sample) diversity. Beta (between sample) diversity was examined using principle coordinate analysis (PCoA) of unweighted Unifrac distances. Relative abundance of microbial taxa was compared between samples using Linear Discriminant Analysis Effect Size (LEfSe)
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Department of epidemiology, School of public health, Fudan University,
🇨🇳Shanghai, Shanghai, China