Systems Pharmacology-based strategy to screen new adjuvant for hepatitis B vaccine from Traditional Chinese Medicine Ophiocordyceps sinensis

Wang, Jingbo; Liu, Rui; Liu, Baoxiu; Yang, Yan; Xie, Jun; Zhu, Nianyong

doi:10.1038/srep44788

Cited by 15 publications

(8 citation statements)

References 70 publications

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“…Such immunologic patterns may be used in addition to age and patient demographics to account for baseline heterogeneity when conducting vaccine clinical trials; leading to more personalized vaccine research. A systems biology approach has also been undertaken to evaluate new adjuvants for the HBV vaccine (12).…”

Section: Hepatitis B Virus (Hbv) Vaccinementioning

confidence: 99%

The Role of Systems Vaccinology in Understanding the Immune Defects to Vaccination in Solid Organ Transplant Recipients

2020

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Solid organ transplant recipients (SOTRs) are at increased risk for many infections, whether viral, bacterial, or fungal, due to immunosuppressive therapy to prevent organ rejection. The same immune defects that render transplanted patients susceptible to infection dampen their immune response to vaccination. Therefore, it is vital to identify immune defects to vaccination in transplant recipients and methods to obviate them. These methods can include alternative vaccine composition, dosage, adjuvants, route of administration, timing, and re-vaccination strategies. Systems biology is a relatively new field of study, which utilizes high throughput means to better understand biological systems and predict outcomes. Systems biology approaches have been used to help obtain a global picture of immune responses to infections and vaccination (i.e. systems vaccinology), but little work has been done to use systems biology to improve vaccine efficacy in immunocompromised patients, particularly SOTRs, thus far. Systems vaccinology approaches may hold key insights to vaccination in this vulnerable population.

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Section: Hepatitis B Virus (Hbv) Vaccinementioning

confidence: 99%

The Role of Systems Vaccinology in Understanding the Immune Defects to Vaccination in Solid Organ Transplant Recipients

2020

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“…[24] And another study results demonstrate that cordycepin, which extracted from traditional Chinese medicine, could work as adjuvant to hepatitis b vaccine and this kind of new vaccine simultaneously improves the humoral and cellular immunity of BALB/c mice without side effects. [25] YinQiSanHuang-antiviral decoction (YQSH) is a CHM formula used over thirty years for CHB treatment, which has showed effects on anti-HBV-DNA and increasing the level of alanine aminotransferase (ALT) in a small-scale clinical study. [ 26] Research results suggested that YQSH not only enhances the antiviral effect of entecavir, but also has a significant prevention effect on CHB related cirrhosis.…”

Section: Abstract Chronic Hepatitis B Cirrhosis Traditional Chinesementioning

confidence: 99%

Efficacy and safety of YinQiSanHuang-antiviral decoction on chronic hepatitis B: study protocol for a randomized, placebo-controlled, double-blinded trial

Lv²,

et al. 2020

Preprint

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Introduction: Chronic hepatitis B (CHB) is a global public health problem. Antiviral therapy is the primary treatment. Studies shown that combined therapy of traditional Chinese medicine (TCM) and conventional antiviral drugs has better efficacy than conventional antiviral for treatment of CHB. YinQiSanHuang-antiviral decoction (YQSH) is a TCM compound preparation, and has shown its effect on anti-hepatitis B virus and slowing progression of hepatitis B-related liver diseases. To evaluate the efficacy and safety of YQSH combined with entecavir and its preventive effect on hepatitis B cirrhosis, we designed this randomized, double-blind and placebo-controlled trial, which objective is “the combination of YinQiSanHuang-antiviral decoction with entecavir reduce the annual incidence of liver fibrosis / cirrhosis to 1%”.Methods: This is a multicenter, randomized, placebo-controlled, double-blinded trial, 5 hospitals involved in. Totally 802 patients are randomly allocated to two groups: the YQSH group (n=401) or the placebo group (n=401). The YQSH group receives YQSH with Entecavir, the placebo group receives granule of placebo with Entecavir. Patients receive treatment for 52 weeks, and then are followed up for 52±2 weeks. The primary outcome measure is the annual incidence of cirrhosis. The secondary outcome measures are HBV-DNA negative rate, HBsAg negative rate, HBeAg seroconversion rate, liver function (Alanine aminotransferase (ALT), aspartate aminotransferase (AST), gamma glutamyl transferase (GGT), alkaline phosphatase (ALP), serum albumin (ALB) and total bilirubin (TBIL)), spleen thickness, evaluation scores of patients’ clinical symptoms and safety assessment. Outcomes will be assessed at baseline and after treatment.Discussion: Combination therapy could become a trendy of treatment of CHB, this trial expecting to provide credible clinical evidence for the future combination of TCM and conventional antiviral drugs for the treatment of CHB.Trial registration: ChiCTR1900021521, this protocol was registered in the Chinese Clinical Trial Registry (URL: http://www.chictr.org.cn) on February 25th, 2019.

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“…The model also provides insights of potential synergistic effects between herbs which links with similar targets. Wang et al used a systems pharmacology method to provide new insights into the pharmacological interactions of Ophiocordyceps sinensis so as to find new adjuvant for hepatitis B vaccine [182]. Yang et al built an in silico model to predict potential P-Glycoprotein inhibitors and select out 875 potential P-Glycoprotein inhibitors and 15 inhibitorrich herbs from TCMSP [75].…”

Section: Qsp In Tcmmentioning

confidence: 99%

Computational methods and applications for quantitative systems pharmacology

Xie

2019

Quant. Biol.

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Background: Quantitative systems pharmacology (QSP) is an emerging discipline that integrates diverse data to quantitatively explore the interactions between drugs and multi-scale systems including small compounds, nucleic acids, proteins, pathways, cells, organs and disease processes. Results: Various computational methods such as ADME/T evaluation, molecular modeling, logical modeling, network modeling, pathway analysis, multi-scale systems pharmacology platforms and virtual patient for QSP have been developed. We reviewed the major progresses and broad applications in medical guidance, drug discovery and exploration of pharmacodynamic material basis and mechanism of traditional Chinese medicine. Conclusion: QSP has significant achievements in recent years and is a promising approach for quantitative evaluation of drug efficacy and systematic exploration of mechanisms of action of drugs.Author summary: Quantitative systems pharmacology (QSP) is an emerging discipline that integrates diverse data to quantitatively explore the interactions between drugs and multi-scale systems including small compounds, nucleic acids, proteins, pathways, cells, organs and disease processes. This review is an attempt to introduce the computational methods for QSP, including ADME/T (absorption, distribution, metabolism, excretion and toxicity) evaluation, molecular modeling, logical modeling, network modeling, pathway analysis, multi-scale systems pharmacology platforms and virtual patient as well as their applications in medical guidance, drug discovery and explorations of pharmacodynamics material basis and mechanism of traditional Chinese medicine.

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Systems Pharmacology-based strategy to screen new adjuvant for hepatitis B vaccine from Traditional Chinese Medicine Ophiocordyceps sinensis

Cited by 15 publications

References 70 publications

The Role of Systems Vaccinology in Understanding the Immune Defects to Vaccination in Solid Organ Transplant Recipients

The Role of Systems Vaccinology in Understanding the Immune Defects to Vaccination in Solid Organ Transplant Recipients

Efficacy and safety of YinQiSanHuang-antiviral decoction on chronic hepatitis B: study protocol for a randomized, placebo-controlled, double-blinded trial

Computational methods and applications for quantitative systems pharmacology

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