38 or 0.33, respectively). For participants aged 75+ years, the single-leg stance had poor reliability (ICC=0.30-0.39). The MDC90 was about 6kg for grip strength, 2.3 seconds for TUG, 0.2 metres/second for gait speed, 5.2 seconds for chair-rise, and ranged from 22.8 to 26.2 seconds for the single-leg stance.

Among community-dwelling Canadians >50 years old, the reliabilities of the CLSA measures were moderate to excellent. The TUG and gait speed in the youngest age group, and the single-leg stance in oldest age group, showed poor reliability. MDC values can be used to interpret changes over time.

50 years old, the reliabilities of the CLSA measures were moderate to excellent. The TUG and gait speed in the youngest age group, and the single-leg stance in oldest age group, showed poor reliability. Calpeptin inhibitor MDC values can be used to interpret changes over time.

The use of ketamine for depression has increased rapidly in the past decades. Ketamine is often prescribed as add-on to other drugs used in psychiatric patients, but clear information on drug-drug interactions is lacking. With this review we aim to provide an overview of the pharmacodynamic interactions between ketamine and mood stabilizers, benzodiazepines, monoamine oxidase-inhibitors (MAOIs), antipsychotics and psychostimulants.

MEDLINE and Web of Science were searched.

Twenty-four studies were included. For lithium, no significant interactions with ketamine were reported. Two out of five studies on lamotrigine indicated that the effects of ketamine were attenuated. Benzodiazepines were repeatedly shown to reduce the duration of ketamine’s antidepressant effect. For the MAO-inhibitor tranylcypromine, case reports showed no relevant changes in vital signs during concurrent S-ketamine use. One paper indicated an interaction between ketamine and haloperidol, two other studies did not. Four papers investtment. There is evidence for an interaction between ketamine and clozapine, haloperidol and risperidone. Due to small sample sizes, different subject groups and various outcome parameters, the evidence is of low quality. More studies are needed to provide insight into pharmacodynamic interactions with ketamine.

The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has infected over 110 million individuals and led to 2.5 million deaths worldwide. As more individuals are vaccinated, the clinical performance and utility of SARS-CoV-2 serology platforms needs to be evaluated.

The ability of four commercial SARS-CoV-2 serology platforms to detect previous infection or vaccination were evaluated using a cohort of 53 SARS-CoV-2 PCR-positive patients, 89 SARS-CoV-2-vaccinated healthcare workers (Pfizer or Moderna), and 127 SARS-CoV-2 negative patients. Serology results were compared to a cell based SARS-CoV-2 pseudovirus (PSV) neutralizing antibodies assay.

The Roche S-(spike) antibody and Diazyme neutralizing antibodies (NAbs) assays detected adaptive immune response in 100.0% and 90.1% of vaccinated individuals who received two-doses of vaccine (initial and booster), respectively. The Roche N-(nucleocapsid) antibody assay and Diazyme IgG assay did not detect adaptive immune response in vaccinated individu in vaccinated individuals. Understanding the reactivity of commercially available serology platforms is important when distinguishing vaccination response versus natural infection.The pulsatile pattern of prostaglandin F2alpha (PGF) secretion during spontaneous luteolysis is well-documented, with multiple pulses of exogenous PGF necessary to induce regression using physiologic concentrations of PGF. However, during spontaneous regression, the earliest pulses of PGF are small and not associated with detectable changes in circulating progesterone (P4), bringing into question what, if any, role these early, subluteolytic PGF pulses have during physiologic regression. To investigate the effect of small PGF pulses, luteal biopsies were collected throughout natural luteolysis in conjunction with bihourly blood samples to determine circulating P4 and PGF metabolite to retrospectively assign biopsies to early and later regression. Whole transcriptome analysis was conducted on CL biopsies. Early PGF pulses altered the luteal transcriptome, inducing differential expression of 210 genes (Q  less then  0.05) during early regression, compared to 4615 differentially expressed genes during later regression. In early regression, few of these differentially expressed genes were directly associated with luteolysis, rather there were changes in local steroid and glutathione metabolism. Most (94%) differentially expressed genes from early regression were also differentially expressed during later regression, with 98% of these continuing to be altered in the same direction compared to CL at a similar stage of the cycle that had not yet been exposed to PGF. Thus, early, subluteolytic PGF pulses impact the luteal transcriptome, though not by altering steroidogenesis or causing direct inhibition of cellular function. Rather, small pulses alter pathways resulting in removal of cellular support systems, which may sensitize the CL to later pulses of PGF.

To determine if an existing course in genetics should be revised to refocus on the topic of genomics and its impact on health and primary care, a survey of chiropractors was conducted regarding genomics and patient care.

A short survey was designed to ascertain chiropractors’ knowledge and use of genomics in their practices, particularly regarding direct to consumer genetic testing. Nine closed-ended questions and 2 open-ended questions were included. Pearson correlation was used to evaluate relationships between close-ended responses. Content analysis was conducted on the final open-ended question that queried respondents for further comments.

There were 181 completed surveys returned. Patients do ask chiropractors about their own direct to consumer genetic testing results-42% indicated that they are approached by patients 1-3 times per month to discuss genetics/genomics. Knowledge of genomics varies among chiropractors, yet 51% feel that teaching genomics is moderately (31%) or extremely (20%) important.