ClinicalTrials.gg
CompletedNCT03470376NU-TRY(HIV)Updated Mar 23, 2018

NUtraceutical TReatment for hYpercholesterolemia in HIV-infected Patients

A Phase 4 interventional study of Nutraceutical combination (NC) and No nutraceutical combination (noNC) in Hypercholesterolemia, Inflammation and Atherosclerosis, sponsored by University Of Perugia. Completed. Open to participants aged 18 Years to 75 Years. Per ClinicalTrials.gov, last updated 2018-03-23.

Sponsored by University Of Perugia · Phase 4, Interventional, and Treatment

From the registry’s dates

  • Registered 1 year 1 month after the study started (first participant enrolled Jan 2017, registered Mar 2018).
Phase
Phase 4
Study type
Interventional
Enrollment
26
Allocation
Randomized
Ages
18 Years to 75 Years
Sex
All
01

Study summary

The effects of a nutraceutical combination (NC) containing low-dose monacolin K and berberine on lipid profile, proprotein convertase subtilisin/kexin type 9 (PCSK9), subclinical inflammation and arterial stiffness were investigated in human immunodeficiency virus (HIV)-infected patients receiving stable antiretroviral therapy (ART).

Read the detailed description

This is a crossover interventional study of 26 HIV-infected patients on stable ART with low density lipoprotein cholesterol (LDL-C) >100 mg/dL, not receiving any lipid-lowering treatment. After a 3-week lipid stabilization period with a standardized diet regimen, the effect of a 3-month oral NC containing red yeast rice-derived monacolin K 3 mg, berberine 500 mg, policosanol 10 mg, astaxanthin 0.5 mg, folic acid 0.2 mg and coenzyme Q10 2 mg vs no active treatment (noNC) was tested on plasma total cholesterol (TC), LDL-C, high density lipoprotein cholesterol (HDL-C), triglyceride, lipoprotein(a), PCSK9, high-sensitivity C-reactive protein (hsCRP) levels and aortic pulse wave velocity (aPWV).

02

Conditions studied

  • Hypercholesterolemia
  • Inflammation
  • Atherosclerosis

Keywords

  • cholesterol
  • nutraceutical
  • HIV
  • PCSK9
  • hsCRP
  • stiffness
03

In context

Hypercholesterolemia

1,175 studies on the registry are indexed under Hypercholesterolemia; 93 are open to participants now.

This study's enrollment of 26 is below the median of 110 across 975 interventional studies indexed under Hypercholesterolemia.

Browse Hypercholesterolemia studies →

Lead sponsor

University Of Perugia is the lead sponsor of 55 studies on the registry; 12 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 75 Years
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • LDL-C >100 mg/dL
  • no history of cardiovascular disease
  • stable ART for at least 6 months

Exclusion criteria

Exclusion Criteria:

  • current or recent (≤6 months) treatment with lipid-lowering drugs
  • chronic kidney disease [estimated (GFR) \<60 ml/min]
  • liver impairment ( and/or ALT >3 times )
  • current pregnancy
  • opportunistic infections within the past 3 months,
  • having received an organ transplant/ therapy
Terms in these criteria, in plain language(4)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

GFR and eGFR (kidney filtering)

GFR (glomerular filtration rate) is how much blood the kidneys filter each minute. It is usually estimated from a blood test — eGFR, by formulas such as CKD-EPI or MDRD — and some studies ask for it to be measured directly instead. Usually given in mL/min/1.73 m².

Check the method, the units and the minimum the study states. A value of 90 or above is in the normal-or-high range, but kidney damage can show in other tests too.

ALT and AST (liver enzymes)

Two enzymes measured in a routine blood test of the liver. Higher levels can mean the liver is under strain or damaged. SGPT and SGOT are older names for ALT and AST.

Criteria usually give a limit as a multiple of the upper limit of normal (ULN), often higher when cancer has spread to the liver.

ULN (upper limit of normal)

The top of the normal range for a blood test, as set by the laboratory that runs it. Each lab prints its own range next to your result.

“≤ 2.5 × ULN” means the result can be up to two and a half times that top value.

Immunosuppression

A weakened immune system. It can come from an illness, such as HIV or some blood cancers, or from medicines that turn the immune system down, for example after an organ transplant or for an autoimmune disease; steroids at higher doses count.

Read whether the line is about a condition or about medicines, and which medicines and doses it means.

05

Study design

Phase
Phase 4
Primary purpose
Treatment
Allocation
Randomized
Intervention model
Crossover assignment
Masking
Single (Outcomes assessor)
Enrollment
26 participants (actual)

Study arms

  • Experimental
    Nutraceutical combination (NC)

    Patients on standardized diet regimen taking a NC (red yeast rice-derived monacolin K 3 mg, berberine 500 mg, policosanol 10 mg, astaxanthin 0.5 mg, folic acid 0.2 mg and coenzyme Q10 2 mg) one pill/day for 3 months

    Dietary Supplement: Nutraceutical combination (NC)

  • Active comparator
    No nutraceutical combination (noNC)

    Patients on standardized diet regimen without taking any NC

    Behavioral: No nutraceutical combination (noNC)

Interventions

  • Dietary supplementNutraceutical combination (NC)

    An oral NC (red yeast rice-derived monacolin K 3 mg, berberine 500 mg, policosanol 10 mg, astaxanthin 0.5 mg, folic acid 0.2 mg and coenzyme Q10 2 mg) one pill/day was administered for 3 months along with prosecution of standardized diet regimen

    Also known as: Armolipid Plus, Meda Pharma - Mylan

  • BehavioralNo nutraceutical combination (noNC)

    Prosecution of standardized diet regimen for 3 months

06

What researchers measure

Primary outcomes

  1. Change from baseline in LDL-C levels at 3 months

    plasma LDL-C levels

    Time frame: 3 months after treatment randomization

Secondary outcomes

  1. Change from baseline in PCSK9 levels at 3 months

    plasma PCSK9 levels

    Time frame: 3 months after treatment randomization

  2. Change from baseline in subclinical inflammation at 3 months

    plasma hs-CRP levels

    Time frame: 3 months after treatment randomization

  3. Change from baseline in arterial stiffness at 3 months

    aPWV

    Time frame: 3 months after treatment randomization

Other outcomes

  1. Change from baseline in creatine phosphokinase (CPK) levels at 3 months

    plasma CPK levels

    Time frame: 3 months after treatment randomization

  2. Change from baseline in aspartate transaminase (AST) levels at 3 months

    plasma AST levels

    Time frame: 3 months after treatment randomization

  3. Change from baseline in alanine transaminase (ALT) levels at 3 months

    plasma ALT levels

    Time frame: 3 months after treatment randomization

  4. Change from baseline in CD4+ cell count at 3 months

    CD4+ cell count

    Time frame: 3 months after treatment randomization

  5. Change from baseline in HIV-1 RNA levels at 3 months

    HIV-1 RNA levels

    Time frame: 3 months after treatment randomization

07

Study locations

No study locations are listed for this record.

08

References and documents

Publications

  • Kelesidis T, Currier JS. Dyslipidemia and cardiovascular risk in human immunodeficiency virus infection. Endocrinol Metab Clin North Am. 2014 Sep;43(3):665-84. doi: 10.1016/j.ecl.2014.06.003. PubMed 25169560 ↗
  • Chastain DB, Stover KR, Riche DM. Evidence-based review of statin use in patients with HIV on antiretroviral therapy. J Clin Transl Endocrinol. 2017 Feb 22;8:6-14. doi: 10.1016/j.jcte.2017.01.004. eCollection 2017 Jun. PubMed 29067253 ↗
  • Bednasz C, Luque AE, Zingman BS, Fischl MA, Gripshover BM, Venuto CS, Gu J, Feng Z, DiFrancesco R, Morse GD, Ma Q. Lipid-Lowering Therapy in HIV-Infected Patients: Relationship with Antiretroviral Agents and Impact of Substance-Related Disorders. Curr Vasc Pharmacol. 2016;14(3):280-7. doi: 10.2174/1570161114666160106151652. PubMed 26733388 ↗
  • Pirro M, Vetrani C, Bianchi C, Mannarino MR, Bernini F, Rivellese AA. Joint position statement on "Nutraceuticals for the treatment of hypercholesterolemia" of the Italian Society of Diabetology (SID) and of the Italian Society for the Study of Arteriosclerosis (SISA). Nutr Metab Cardiovasc Dis. 2017 Jan;27(1):2-17. doi: 10.1016/j.numecd.2016.11.122. Epub 2016 Nov 22. PubMed 27956024 ↗
  • Pirro M, Mannarino MR, Ministrini S, Fallarino F, Lupattelli G, Bianconi V, Bagaglia F, Mannarino E. Effects of a nutraceutical combination on lipids, inflammation and endothelial integrity in patients with subclinical inflammation: a randomized clinical trial. Sci Rep. 2016 Mar 23;6:23587. doi: 10.1038/srep23587. PubMed 27004462 ↗
  • Barrios V, Escobar C, Cicero AF, Burke D, Fasching P, Banach M, Bruckert E. A nutraceutical approach (Armolipid Plus) to reduce total and LDL cholesterol in individuals with mild to moderate dyslipidemia: Review of the clinical evidence. Atheroscler Suppl. 2017 Feb;24:1-15. doi: 10.1016/j.atherosclerosissup.2016.10.003. Epub 2016 Dec 18. PubMed 27998714 ↗
  • Pirro M, Mannarino MR, Bianconi V, Simental-Mendia LE, Bagaglia F, Mannarino E, Sahebkar A. The effects of a nutraceutical combination on plasma lipids and glucose: A systematic review and meta-analysis of randomized controlled trials. Pharmacol Res. 2016 Aug;110:76-88. doi: 10.1016/j.phrs.2016.04.021. Epub 2016 May 6. PubMed 27157250 ↗
  • Keithley JK, Swanson B, Sha BE, Zeller JM, Kessler HA, Smith KY. A pilot study of the safety and efficacy of cholestin in treating HIV-related dyslipidemia. Nutrition. 2002 Feb;18(2):201-4. doi: 10.1016/s0899-9007(01)00688-8. PubMed 11844656 ↗
  • Kinlay S. Low-density lipoprotein-dependent and -independent effects of cholesterol-lowering therapies on C-reactive protein: a meta-analysis. J Am Coll Cardiol. 2007 May 22;49(20):2003-9. doi: 10.1016/j.jacc.2007.01.083. Epub 2007 May 4. PubMed 17512355 ↗
  • Pirro M, Francisci D, Bianconi V, Schiaroli E, Mannarino MR, Barsotti F, Spinozzi A, Bagaglia F, Sahebkar A, Baldelli F. NUtraceutical TReatment for hYpercholesterolemia in HIV-infected patients: The NU-TRY(HIV) randomized cross-over trial. Atherosclerosis. 2019 Jan;280:51-57. doi: 10.1016/j.atherosclerosis.2018.11.026. Epub 2018 Nov 14. PubMed 30471555 ↗
09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Ran from Jan 2017 to primary completion in Nov 2017, 10 months.

Of 40 phase 4 interventional studies under Hypercholesterolemia, half reached primary completion within 19 months of starting (the median), counting those still running; a quarter within 14 and three quarters within 26. This study's 10 months is below that.

How these figures are worked out, and which studies are left out of them.

Registered
Mar 12, 2018
First posted
Mar 19, 2018
StartActual
Jan 15, 2017
Primary completionActual
Nov 15, 2017
CompletionActual
Nov 30, 2017
Last update
Mar 23, 2018
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Mar 23, 2018, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT03470376
Lead sponsor
University Of Perugia
Responsible party
Matteo Pirro (Clinical Professor, Principal Investigator, University Of Perugia) — Principal investigator
First posted
Mar 19, 2018
Start date
Jan 15, 2017
Primary completion
Nov 15, 2017
Completion
Nov 30, 2017
Last update
Mar 23, 2018

Study contacts

Matteo Pirro, M.D., PhD
principal investigator · University Of Perugia

Oversight

Data monitoring committee
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Mar 2018. You cannot join it, but the record below documents what was studied.

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