Linking Symptom Inventories using Semantic Textual Similarity

An extensive library of symptom inventories has been developed over time to measure clinical symptoms, but this variety has led to several long standing issues. Most notably, results drawn from different settings and studies are not comparable, which limits reproducibility. Here, we present an artificial intelligence (AI) approach using semantic textual similarity (STS) to link symptoms and scores across previously incongruous symptom inventories. We tested the ability of four pre-trained STS models to screen thousands of symptom description pairs for related content - a challenging task typically requiring expert panels. Models were tasked to predict symptom severity across four different inventories for 6,607 participants drawn from 16 international data sources. The STS approach achieved 74.8% accuracy across five tasks, outperforming other models tested. This work suggests that incorporating contextual, semantic information can assist expert decision-making processes, yielding gains for both general and disease-specific clinical assessment

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

Investigation into the role of P2X(3)/P2X(2/3) receptors in neuropathic pain following chronic constriction injury in the rat: an electrophysiological study

1. Two P2X(3)/P2X(2/3) receptor antagonists with different potencies were profiled electrophysiologically in a rat model of nerve injury. 2. A-317491 has poor CNS penetrance (blood : brain, 1 : <0.05), and was therefore administered intravenously in chronic constriction injury (CCI)- and sham-operated rats to study the involvement of P2X(3) subunit-containing receptors in the periphery in neuropathic pain. A-317491 and Compound A were administered topically to the spinal cord to investigate the central contribution. 3. There were no significant inhibitory effects of A-317491 intravenous (i.v.) seen in sham-operated animals compared to vehicle controls. In CCI-operated animals, there were significant inhibitory effects of 3 mg kg(−1) A-317491 i.v. on C fibre-evoked responses, and with 10 mg kg(−1) A-317491 i.v. on Aδ and C fibre-evoked responses. No significant effects of A-317491 were observed after topical application to the spinal cord. In contrast, when Compound A was administered spinally in CCI animals, there was a decrease in Aδ and C fibre-evoked responses, and wind up. 4. These changes indicate that A-317491 has a selective effect on neuronal responses in CCI animals compared to sham, demonstrating an increased involvement of P2X(3)/P2X(2/3) receptors in sensory signalling following nerve injury. In addition, the more potent antagonist Compound A was effective spinally, unmasking a potential central role of P2X(3)/P2X(2/3) receptors at this site post nerve injury. These data support a role for P2X(3)/P2X(2/3) antagonists in the modulation of neuropathic pain