Brain-Computer Interface to Deliver Individualized Multisensory Intervention for Neuropathic Pain.

To unravel the complexity of the neuropathic pain experience, researchers have tried to identify reliable pain signatures (biomarkers) using electroencephalography (EEG) and skin conductance (SC). Nevertheless, their use as a clinical aid to design personalized therapies remains scarce and patients are prescribed with common and inefficient painkillers. To address this need, novel non-pharmacological interventions, such as transcutaneous electrical nerve stimulation (TENS) to activate peripheral pain relief via neuromodulation and virtual reality (VR) to modulate patients' attention, have emerged. However, all present treatments suffer from the inherent bias of the patient's self-reported pain intensity, depending on their predisposition and tolerance, together with unspecific, pre-defined scheduling of sessions which does not consider the timing of pain episodes onset. Here, we show a Brain-Computer Interface (BCI) detecting in real-time neurophysiological signatures of neuropathic pain from EEG combined with SC and accordingly triggering a multisensory intervention combining TENS and VR. After validating that the multisensory intervention effectively decreased experimentally induced pain, the BCI was tested with thirteen healthy subjects by electrically inducing pain and showed 82% recall in decoding pain in real time. Such constructed BCI was then validated with eight neuropathic patients reaching 75% online pain precision, and consequently releasing the intervention inducing a significant decrease (50% NPSI score) in neuropathic patients' pain perception. Our results demonstrate the feasibility of real-time pain detection from objective neurophysiological signals, and the effectiveness of a triggered combination of VR and TENS to decrease neuropathic pain. This paves the way towards personalized, data-driven pain therapies using fully portable technologies.

Tailored first-line biologic and targeted synthetic disease modifying anti-rheumatic drugs therapy in patients with rheumatoid arthritis: 2021 updated ITABIO statements.

INTRODUCTION: In 2015, the Italian board for the TAilored BIOlogic therapy (ITABIO) proposed evidence-based decisional statements for first-line tailored biologic therapy in patients with rheumatoid arthritis (RA). Taking into account the new licensed drugs, the aim of the present review was to update the previous statements. AREAS COVERED: A narrative review of the most recent evidence on the efficacy and safety of old and newly licensed drugs for the treatment of articular and extra-articular RA was performed. In addition, host-related variables potentially driving the therapy choice, such as the infection risk, the cardiovascular risk, the risk of deep vein thrombosis, thromboembolism, pregnancy, and obesity were analyzed. Consequently, several statements for personalized therapy were formulated, thus providing a decisional algorithm useful for proper personalized therapy of RA patients in clinical practice. EXPERT OPINION: Several clinical variables related to specific drug and host characteristics may drive the choice toward anti-TNF and non-anti-TNF biologics, or anti-JAKs, thus allowing to personalize the therapy. Consequently, the right therapy for the right patient would ensure a successful therapeutic intervention.

The Laboratory Role in anti-TNF Biological Therapy Era.

Along years, the advent of biological therapy widely modified treatment of rheumatic diseases and other disorders. However, many agents may elicit in anti-drug antibodies (ADAbs) upon consecutive infusions, with a loss of response. For the right strategy of a personalized medicine, the therapeutic monitoring of TNF-α inhibitors and ADAbs represents an important effort in diagnostic-therapeutic pathway, to improve overall patient management and favoring an appropriate clinical approach. A raising number of diagnostic tests have been designed to elucidate the efficacy and/or safety of a specific drug or class of drugs for a targeted patient's group. Our paper reviewed the current understanding of the immunogenicity of biological drugs employed in the treatment of inflammatory diseases underlying the laboratory role.