| Literature DB >> 27375770 |
Gao-Hong Zhang1, Jian-Bao Han1, Lin Zhu2, Rong-Hua Luo1, Xi-He Zhang2, Xin Chen2, Ying-Jie Hu3, Lin-Chun Fu3, Yong-Tang Zheng4.
Abstract
BACKGROUND: Aikeqing (AKQ) has been shown in clinical studies to improve quality of life of HIV/AIDS patients, but anti-HIV activity has not been determined. The SHIV-infected macaque is an important animal model for testing antiviral drugs. This study aimed to determine the anti-HIV activity of AKQ in chronically SHIV89.6-infected Chinese rhesus macaques.Entities:
Year: 2016 PMID: 27375770 PMCID: PMC4930622 DOI: 10.1186/s13020-016-0105-x
Source DB: PubMed Journal: Chin Med ISSN: 1749-8546 Impact factor: 5.455
Composition of Aikeqing
| Chinese name | English name | Latin name | Part used | Composition ratio |
|---|---|---|---|---|
| Fuzi | Radix AconitiLateralisPreparata | Aconitum carmichaeli Debx. | Black slice of root | 10 |
| Yinyanghuo | Herba Epimedii | Epimedium brevicornum Maxim. | Overground portion | 5 |
| Ganjiang | Rhizoma Zingiberis | Zingiber officinaleRosc. | Rhizoma | 5 |
| Gancao | Radix Glycyrrhizae | Glycyrrhiza uralensis Fisch. | Root and Rhizoma | 5 |
| Renshen | Radix Ginseng | Panax ginseng C. A. Mey. | Root | 3 |
| Danshen | Radix SalviaeMiltiorrhizae | Salvia miltiorrhizaBge. | Root | 3 |
| Huzhang | Rhizoma Polygoni Cuspidati | Polygonum cuspidatum Sieb. etZucc. | Root | 3 |
| Fuling | Poria | Poriacocos (Schw.) Wolf. | Sclerotium | 3 |
| Huangbai | Cortex Phellodendri | Phellodendron chinensis Schneid. | Bark | 1.5 |
| Huangqin | Radix Scutellariae | Scutellaria baicalensis Georgi | Root | 1.5 |
Hematological parameters of SHIV89.6-infected Ch-RMs during Aikeqing treatment
| Markers | Group | Weeks post administration of AKQ | ||
|---|---|---|---|---|
| 0 | 2 | 4 | ||
| WBC | H | 7.2 ± 2.0 | 8.1 ± 0.8 | 7.2 ± 1.1 |
| L | 7.0 ± 1.6 | 8.2 ± 0.4 | 8.4 ± 0.6 | |
| C | 7.6 ± 1.9 | 8.0 ± 2.0 | 7.3 ± 2.3 | |
| Mon (%) | H | 7.3 ± 0.7 | 8.1 ± 2.2 | 7.7 ± 2.1 |
| L | 7.9 ± 0.9 | 8.9 ± 1.6 | 7.6 ± 0.9 | |
| C | 7.6 ± 1.1 | 8.1 ± 1.3 | 8.2 ± 0.3 | |
| Mon (109/L) | H | 0.4 ± 0.1 | 0.5 ± 0.1 | 0.4 ± 0.2 |
| L | 0.4 ± 0.2 | 0.4 ± 0.4 | 0.4 ± 0.2 | |
| C | 0.6 ± 0.3 | 0.4 ± 0.3 | 0.7 ± 0.2 | |
| RDW (%) | H | 15.6 ± 0.3 | 16.4 ± 0.4 | 15.5 ± 0.1 |
| L | 15.8 ± 0.3 | 16.1 ± 0.3 | 15.5 ± 0.8 | |
| C | 14.7 ± 0.6 | 16.2 ± 0.2 | 15.5 ± 1.0 | |
| RBC (1012/L) | H | 7.5 ± 0.4 | 6.6 ± 0.4 | 6.8 ± 0.1 |
| L | 7.1 ± 0.4 | 5.6 ± 0.4 | 6.0 ± 0.6 | |
| C | 7.1 ± 0.3 | 6.0 ± 0.9 | 5.8 ± 0.8 | |
| HCT (%) | H | 58.7 ± 2.0 | 51.2 ± 3.4 | 53.9 ± 1.0 |
| L | 53.2 ± 2.9 | 42.8 ± 3.2 | 46.7 ± 4.9 | |
| C | 52.9 ± 2.4 | 46.0 ± 7.2 | 45.6 ± 7.0 | |
| Lym (109/L) | H | 1.7 ± 0.3 | 2.0 ± 0.2 | 2.5 ± 0.5 |
| L | 1.5 ± 0.2 | 1.6 ± 0.6 | 2.0 ± 0.3 | |
| C | 1.8 ± 0.5 | 1.8 ± 0.7 | 2.0 ± 0.3 | |
| Lym (%) | H | 22.4 ± 6.0 | 27.3 ± 10.5 | 36.9 ± 12.5 |
| L | 19.0 ± 9.7 | 17.4 ± 5.9 | 34.0 ± 7.8 | |
| C | 22.8 ± 12.4 | 23.2 ± 22.0 | 32.7 ± 13.9 | |
| MCV (fL) | H | 74.6 ± 0.2 | 77.5 ± 0.5 | 79.0 ± 0.3 |
| L | 75.0 ± 0.5 | 76.9 ± 0.4 | 78.6 ± 0.2 | |
| C | 74.3 ± 0.5 | 77.3 ± 0.8 | 78.5 ± 1.5 | |
| MCH (pg) | H | 24.4 ± 0.4 | 25.6 ± 0.6 | 26.8 ± 0.5 |
| L | 23.9 ± 1.2 | 25.0 ± 0.3 | 26.2 ± 0.2 | |
| C | 22.9 ± 1.9 | 24.1 ± 1.9 | 24.2 ± 2.4 | |
| MCHC (g/L) | H | 328.3 ± 4.2 | 331.3 ± 7.8 | 339.3 ± 6.7 |
| L | 319.3 ± 13.9 | 326.0 ± 4.4 | 333.3 ± 3.2 | |
| C | 309.0 ± 23.4 | 311.7 ± 22.0 | 308.3 ± 26.5 | |
| MPV (fL) | H | 7.2 ± 0.1 | 7.8 ± 0.6 | 8.0 ± 0.5 |
| L | 7.3 ± 0.1 | 7.9 ± 0.4 | 8.1 ± 0.3 | |
| C | 6.9 ± 0.5 | 8.1 ± 0.5 | 7.6 ± 0.5 | |
| HGB (g/L) | H | 189.7 ± 5.0 | 176.3 ± 4.5 | 183.0 ± 1.0 |
| L | 170.0 ± 9.6 | 149.7 ± 8.1 | 156.0 ± 15.6 | |
| C | 160.7 ± 14.2 | 158.0 ± 24.5 | 152.0 ± 24.8 | |
| PDW | H | 16.5 ± 0.1 | 16.6 ± 0.3 | 16.6 ± 0.2 |
| L | 16.8 ± 0.5 | 16.3 ± 0.2 | 16.3 ± 0.2 | |
| C | 16.6 ± 0.1 | 16.3 ± 0.2 | 16.2 ± 0.2 | |
| PLT (109/L) | H | 410.0 ± 76.3 | 367.0 ± 60.9 | 287.7 ± 27.1 |
| L | 331.7 ± 27.7 | 440.3 ± 67.3 | 372.7 ± 61.2 | |
| C | 418.0 ± 25.0 | 459.7 ± 24.0 | 377.7 ± 51.9 | |
| PCT (%) | H | 0.3 ± 0.1 | 0.3 ± 0.0 | 0.2 ± 0.0 |
| L | 0.2 ± 0.1 | 0.4 ± 0.1 | 0.3 ± 0.1 | |
| C | 0.2 ± 0.1 | 0.4 ± 0.0 | 0.3 ± 0.1 | |
| Gran (109/L) | H | 3.8 ± 0.7 | 5.6 ± 4.6 | 2.9 ± 1.4 |
| L | 2.9 ± 0.2 | 4.4 ± 2.0 | 2.2 ± 1.3 | |
| C | 2.4 ± 0.8 | 4.6 ± 1.5 | 2.7 ± 0.7 | |
| Gran (%) | H | 71.3 ± 7.1 | 63.9 ± 6.6 | 58.1 ± 12.6 |
| L | 72.8 ± 8.2 | 71.0 ± 7.7 | 60.0 ± 7.5 | |
| C | 70.3 ± 14.0 | 69.6 ± 12.5 | 64.5 ± 8.4 | |
H high-dose group, L low-dose group, C control group, WBC white blood cells, Mon monocytes, RDW red blood cell volume distribution width, RBC red blood cells, HCT haematocrit, Lym lymphocytes, MCV mean corpuscular volume, MCH mean corpuscular haemoglobin, MCHC mean corpusular hemoglobin concerntration, MPV mean platelet volume, HGB haemoglobin, PDW platelet distribution width, PLT platelets, PCT plateletcrit, Gran granulocytes
Fig. 1AKQ reduces plasma viral loads in chronically SHIV89.6-infected Ch-RMs. Nine SHIV89.6-infected Ch-RMs were randomly divided into three groups (n = 3 per group), and treated with 1.65 g/kg/day AKQ (a), 0.55 g/kg/day AKQ (b), or placebo (c) for 8 weeks. The gray-shaded areas indicate the treatment period. The dotted lines indicate the results obtained from individual animals, and the solid lines represent the mean values for the groups. Plasma viral loads were measured by real-time PCR assays with a sensitivity of 100 vRNA copies/mL
Fig. 2Changes in CD4+ T cell counts in peripheral blood. The absolute CD4+ T cell counts remained stable or increased after treatment in the high-dose group (a), compared with those in the low-dose group (b) or control group (c). No significant changes were observed for the CD4+ T cell counts in the treated and untreated groups before and after treatment
Fig. 3Changes in CD8+ T cell counts in peripheral blood. The CD8+ T cell counts were assessed in the high-dose group (a), low-dose group (b), and control group (c). No significant changes were observed for the CD8+ T cell counts in the treated and untreated groups before and after treatment
Fig. 4Effect of treatment on peripheral blood CD4/CD8 T cell ratios. The CD4/CD8 T cell ratio remained at a consistently high level in the high-dose group (a), low-dose group (b), and control group (c) during the treatment. No significant changes were observed in the treated and untreated groups before and after treatment
Fig. 5Correlations of the CD4/CD8 ratio with the CD4+ T cell count, CD8+ T cell count, or plasma viral load in the treated or untreated Ch-RMs. Spearman’s correlations were analyzed in the control group (top panel) and high-dose group (bottom panel). The CD4/CD8 ratio was negatively correlated with the plasma viral load in the control group (a), but no correlation was found in the high-dose group (b). The CD4/CD8 ratio was positively correlated with the CD4+ T cell count in the high-dose group (d), but no correlation was found in the control group (c). The CD4/CD8 ratio was negatively correlated with the CD8+ T cell count in the control group (e), but no correlation was observed in the high-dose group (f)