Immune-Complex Mimics as a Molecular Platform for Adjuvant-Free Vaccine Delivery

Protein-based vaccine development faces the difficult challenge of finding robust yet non-toxic adjuvants suitable for humans. Here, using a molecular engineering approach, we have developed a molecular platform for generating self-adjuvanting immunogens that do not depend on exogenous adjuvants for induction of immune responses. These are based on the concept of Immune Complex Mimics (ICM), structures that are formed between an oligomeric antigen and a monoclonal antibody (mAb) to that antigen. In this way, the roles of antigens and antibodies within the structure of immune complexes are reversed, so that a single monoclonal antibody, rather than polyclonal sera or expensive mAb cocktails can be used. We tested this approach in the context of Mycobacterium tuberculosis (MTB) infection by linking the highly immunogenic and potentially protective Ag85B with the oligomeric Acr (alpha crystallin, HspX) antigen. When combined with an anti-Acr monoclonal antibody, the fusion protein formed ICM which bound to C1q component of the complement system and were readily taken up by antigen-presenting cells in vitro. ICM induced a strong Th1/Th2 mixed type antibody response, which was comparable to cholera toxin adjuvanted antigen, but only moderate levels of T cell proliferation and IFN-γ secretion. Unfortunately, the systemic administration of ICM did not confer statistically significant protection against intranasal MTB challenge, although a small BCG-boosting effect was observed. We conclude that ICM are capable of inducing strong humoral responses to incorporated antigens and may be a suitable vaccination approach for pathogens other than MTB, where antibody-based immunity may play a more protective role

Direct improvement of quality of life using a tailored quality of life diagnosis and therapy pathway: randomised trial in 200 women with breast cancer

Background: Despite thousands of papers, the value of quality of life (QoL) in curing disease remains uncertain. Until now, we lacked tools for the diagnosis and specific treatment of diseased QoL. We approached this problem stepwise by theory building, modelling, an exploratory trial and now a definitive randomised controlled trial (RCT) in breast cancer, whose results we report here. Methods: In all, 200 representative Bavarian primary breast cancer patients were recruited by five hospitals and treated by 146 care professionals. Patients were randomised to either (1) a novel care pathway including diagnosis of ‘diseased’ QoL (any QoL measure below 50 points) using a QoL profile and expert report sent to the patient's coordinating practitioner, who arranged QoL therapy consisting of up to five standardised treatments for specific QoL defects or (2) standard postoperative care adhering to the German national guideline for breast cancer. The primary end point was the proportion of patients in each group with diseased QoL 6 months after surgery. Patients were blinded to their allocated group. Results: At 0 and 3 months after surgery, diseased QoL was diagnosed in 70% of patients. The QoL pathway reduced rates of diseased QoL to 56% at 6 months, especially in emotion and coping, compared with 71% in controls (P=0.048). Relative risk reduction was 21% (95% confidence interval (CI): 0–37), absolute risk reduction 15% (95% CI: 0.3–29), number needed to treat (NNT)=7 (95% CI: 3–37). When QoL therapy finished after successful treatment, diseased QoL often returned again, indicating good responsiveness of the QoL pathway. Conclusion: A three-component outcome system including clinician-derived objective, patient-reported subjective end points and qualitative analysis of clinical relevance was developed in the last 10 years for cancer as a complex intervention. A separate QoL pathway was implemented for the diagnosis and treatment of diseased QoL and its effectiveness tested in a community-based, pragmatic, definitive RCT. While the pathway was active, it was effective with an NNT of 7

Quality of life diagnosis and therapy as complex intervention for improvement of health in breast cancer patients: delineating the conceptual, methodological, and logistic requirements (modeling).

Background and aims: A system for quality of life (QoL) diagnosis and therapy in breast cancer patients was developed according to the Medical Research Council (MRC) framework of complex interventions. Along MRC’s five phases in the continuum of evidence, the present paper deals with phase I: modeling (i.e., delineating the conceptual, methodological, and logistic requirements). Basic elements: Theoretical background is a new conceptualization of QoL that provides a rational basis to diagnose “diseased” QoL. A care pathway as the central part of modeling is composed of the following interrelated structural elements: patients (n =  170), clinicians (n = 10), experts in a quality of life unit (n  = 5), coordinating practitioners (n = 38), local opinion leaders (n  = 12), and professional therapists for QoL enhancing therapies (n  = 75). Networking of these structural elements was achieved by clinical algorithm. In the clinical center, the patient and doctor delivered a questionnaire (EORTC) and health status report. The QoL unit transformed it into a profile and experts’ report. The coordinating practitioner transformed the latter into a decision on QoL therapy and the care pathway ended with the professional therapists. Implementation of this system used a multifaceted strategy including educational outreach visits, local opinion leaders, and quality circles. Conclusion: The suffering cancer patient is the main focus of this QoL diagnosis and therapy system. It will have to pass the rigorous test of a definitive randomized trial