Faculty Recital

This is the program for the faculty recital featuring several faculty artists (in order of performance): violinists Helen Lyon and Nancy Umiker, flautist Ralph Rauch, trumpet player James Smith, and cellist Alex Nisbet; trumpet player James Smith, pianist Evelyn Bowden; flautist Ralph Rauch and pianist Virginia Queen; pianist William Bill Trantham and violinist Helen Lyon; and trumpet player James Smith, bassoon player Charles Wesley, and pianist Evelyn Bowden. This recital took place on February 29, 1968, in Mitchell Hall

Tracking and synchronization of the yeast cell cycle using dielectrophoretic opacity

Cell cycle synchronization is an important tool for the study of the cell division stages and signalling. It provides homogeneous cell cultures that are of importance to develop and improve processes such as protein synthesis and drug screening. The main approach today is the use of metabolic agents that block the cell cycle at a particular phase and accumulate cells at this phase, disturbing the cell physiology. We provide here a non-invasive and label-free continuous cell sorting technique to analyze and synchronize yeast cell division. By balancing opposing dielectrophoretic forces at multiple frequencies, we maximize sensitivity to the characteristic shape and internal structure changes occurring during the yeast cell cycle, allowing us to synchronize the culture in late anaphase

Transfer of antiretroviral drugs into breastmilk: a prospective study from the Swiss Mother and Child HIV Cohort Study.

INTRODUCTION In 2018, Switzerland changed its guidelines to support women living with HIV wishing to breastfeed. The exposure of antiretroviral drugs (ARVs) in breastmilk and the ingested daily dose by the breastfed infant are understudied, notably for newer ARVs. This study aimed to quantify ARV concentrations in maternal plasma and breastmilk to determine the milk/plasma ratio, to estimate daily infant ARV dose from breastfeeding and to measure ARV concentrations in infants. METHODS All women wishing to breastfeed were included, regardless of their ARV treatment. Breastmilk and maternal plasma samples were mostly collected at mid-dosing interval. RESULTS Twenty-one mother/child pairs were enrolled; of those several were on newer ARVs including 10 raltegravir, 1 bictegravir, 2 rilpivirine, 2 darunavir/ritonavir and 3 tenofovir alafenamide. No vertical HIV transmission was detected (one infant still breastfed). The median milk/plasma ratios were 0.96/0.39 for raltegravir once/twice daily, 0.01 for bictegravir, 1.08 for rilpivirine, 0.12 for darunavir/ritonavir and 4.09 for tenofovir alafenamide. The median estimated infant daily dose (mg/kg) from breastfeeding was 0.02/0.25 for raltegravir once/twice daily, 0.01 for bictegravir, 0.02 for rilpivirine, 0.05 for darunavir/ritonavir and 0.007 for tenofovir alafenamide, resulting in relative infant dose <10% exposure index for all ARVs. CONCLUSIONS ARVs were transferred to a variable extent in breastmilk. Nevertheless, the estimated daily ARV dose from breastfeeding remained low. Differential ARV exposure was observed in breastfed infants with some ARVs being below/above their effective concentrations raising the concern of resistance development if HIV infection occurs. More data on this potential risk are warranted to better support breastfeeding

Successful implementation of new Swiss recommendations on breastfeeding of infants born to women living with HIV

INTRODUCTION: Swiss national recommendations advise, since end of 2018, supporting women with HIV who wish to breastfeed. Our objective is to describe the motivational factors and the outcome of these women and of their infants. METHODS: mothers included in MoCHiV with a delivery between January 2019 and February 2021 who fulfilled the criteria of the "optimal scenario" (adherence to cART, regular clinical care, and suppressed HIV plasma viral load (pVL) of <50 RNA copies/ml) and who decided to breastfeed after a shared decision-making process, were approached to participate in this nested study and asked to fill-in a questionnaire exploring the main motivating factors for breastfeeding. RESULTS: Between January 9, 2019 and February 7, 2021, 41 women gave birth, and 25 decided to breastfeed of which 20 accepted to participate in the nested study. The three main motivational factors of these women were bonding, neonatal and maternal health benefits. They breastfed for a median duration of 6.3 months (range 0.7-25.7, IQR 2.5-11.1). None of the breastfed neonates received HIV post-exposure prophylaxis. There was no HIV transmission: 24 infants tested negative for HIV at least 3 months after weaning; one mother was still breastfeeding when we analyzed the data. CONCLUSIONS: As a result of a shared decision-making process, a high proportion of mothers expressed a desire to breastfeed. No breastfed infant acquired HIV. The surveillance of breastfeeding mother-infant pairs in high resource settings should be continued to help update guidelines and recommendations

Does the mode of delivery in Cardiac Rehabilitation determine the extent of psychosocial health outcomes?

BACKGROUND: Cardiac Rehabilitation (CR) is a multicomponent tailored intervention aiming to reduce lifestyle risk factors and promote health in patients post cardiovascular disease. CR is delivered either as supervised or facilitated self-delivered yet little evidence exists evaluating the association between mode of delivery and outcomes. METHODS: This observational study used data routinely collected from the National Audit of Cardiac Rehabilitation from April 2012-March 2016. The analysis compared the populations receiving supervised and facilitated self-delivered modes for differences in baseline demographics, four psychosocial health measures pre and post CR and changes in anxiety, depression and quality of life following the intervention. The analysis also modelled the relationship between mode and outcomes, accounting for covariates such as age, gender, duration and staffing. RESULTS: The study contained 120,927 patients (age 65, 26.5 female) with 82.2% supervised and 17.8% self-delivered. The analysis showed greater proportion of females, employed and older patients in the self-delivered group. Following CR, patients in both groups demonstrated positive changes which were of comparable size. The regression model showed no significant association between mode of delivery and outcome in all four psychosocial outcomes when accounting for covariates (p-value>0.0.5). CONCLUSIONS: Patients benefited from attending both modes of CR showing improved psychosocial health outcomes with 3-76% change from baseline. Over half of CR programmes in the UK do not provide self-delivered CR yet this mode is known to reach older patients, female and employed patients. Facilitated self-delivered CR should be offered and supported as a genuine option, alongside supervised CR, by clinical teams

Unsupervised machine learning predicts future sexual behaviour and sexually transmitted infections among HIV-positive men who have sex with men

Machine learning is increasingly introduced into medical fields, yet there is limited evidence for its benefit over more commonly used statistical methods in epidemiological studies. We introduce an unsupervised machine learning framework for longitudinal features and evaluate it using sexual behaviour data from the last 20 years from over 3'700 participants in the Swiss HIV Cohort Study (SHCS). We use hierarchical clustering to find subgroups of men who have sex with men in the SHCS with similar sexual behaviour up to May 2017, and apply regression to test whether these clusters enhance predictions of sexual behaviour or sexually transmitted diseases (STIs) after May 2017 beyond what can be predicted with conventional parameters. We find that behavioural clusters enhance model performance according to likelihood ratio test, Akaike information criterion and area under the receiver operator characteristic curve for all outcomes studied, and according to Bayesian information criterion for five out of ten outcomes, with particularly good performance for predicting future sexual behaviour and recurrent STIs. We thus assess a methodology that can be used as an alternative means for creating exposure categories from longitudinal data in epidemiological models, and can contribute to the understanding of time-varying risk factors

Unsupervised machine learning predicts future sexual behaviour and sexually transmitted infections among HIV-positive men who have sex with men.

Machine learning is increasingly introduced into medical fields, yet there is limited evidence for its benefit over more commonly used statistical methods in epidemiological studies. We introduce an unsupervised machine learning framework for longitudinal features and evaluate it using sexual behaviour data from the last 20 years from over 3'700 participants in the Swiss HIV Cohort Study (SHCS). We use hierarchical clustering to find subgroups of men who have sex with men in the SHCS with similar sexual behaviour up to May 2017, and apply regression to test whether these clusters enhance predictions of sexual behaviour or sexually transmitted diseases (STIs) after May 2017 beyond what can be predicted with conventional parameters. We find that behavioural clusters enhance model performance according to likelihood ratio test, Akaike information criterion and area under the receiver operator characteristic curve for all outcomes studied, and according to Bayesian information criterion for five out of ten outcomes, with particularly good performance for predicting future sexual behaviour and recurrent STIs. We thus assess a methodology that can be used as an alternative means for creating exposure categories from longitudinal data in epidemiological models, and can contribute to the understanding of time-varying risk factors

HETDEX pilot survey for emission-line galaxies - I. Survey design, performance, and catalog

We present a catalog of emission-line galaxies selected solely by their emission-line fluxes using a wide-field integral field spectrograph. This work is partially motivated as a pilot survey for the upcoming Hobby-Eberly Telescope Dark Energy Experiment (HETDEX). We describe the observations, reductions, detections, redshift classifications, line fluxes, and counterpart information for 397 emission-line galaxies detected over 169 sq.arcmin with a 3500-5800 Ang. bandpass under 5 Ang. full-width-half-maximum (FWHM) spectral resolution. The survey's best sensitivity for unresolved objects under photometric conditions is between 4-20 E-17 erg/s/sq.cm depending on the wavelength, and Ly-alpha luminosities between 3-6 E42 erg/s are detectable. This survey method complements narrowband and color-selection techniques in the search for high redshift galaxies with its different selection properties and large volume probed. The four survey fields within the COSMOS, GOODS-N, MUNICS, and XMM-LSS areas are rich with existing, complementary data. We find 104 galaxies via their high redshift Ly-alpha emission at 1.9<z<3.8, and the majority of the remainder objects are low redshift [OII]3727 emitters at z<0.56. The classification between low and high redshift objects depends on rest frame equivalent width, as well as other indicators, where available. Based on matches to X-ray catalogs, the active galactic nuclei (AGN) fraction amongst the Ly-alpha emitters (LAEs) is 6%. We also analyze the survey's completeness and contamination properties through simulations. We find five high-z, highly-significant, resolved objects with full-width-half-maximum sizes >44 sq.arcsec which appear to be extended Ly-alpha nebulae. We also find three high-z objects with rest frame Ly-alpha equivalent widths above the level believed to be achievable with normal star formation, EW(rest)>240 Ang.Comment: 45 pages, 36 figures, 5 tables, submitted to ApJ

Moving Beyond the 2018 Minimum International Care Considerations for Osteoporosis Management in Duchenne Muscular Dystrophy (DMD)

Individuals living with Duchenne muscular dystrophy (DMD) are at significant risk of bone fragility due to osteoporosis, with the most potent drivers of fragility fractures in this context stemming from the aggressive myopathy and long term oral glucocorticoid therapy. Young people with DMD have a high fracture burden, with reported total and vertebral fracture rates that are four [1, 2] and 535 times [1] higher than those of healthy growing boys, respectively. Vertebral fractures can occur as early as six months following daily glucocorticoid initiation [3]. Up to 75% of young people with DMD sustain at least one fracture after eight years of glucocorticoid therapy [4]. Fractures in DMD can lead to devastating outcomes, including steeper rates of functional decline, premature and permanent loss of ambulation, chronic pain, and even death from fat embolism syndrome or adrenal crisis following long bone fractures [2, 5–8]. The potential for serious consequences and medical complications linked to fractures has driven efforts to develop effective guidelines for timely bone health surveillance and treatment with more recent efforts to develop fracture prevention strategies.To guide clinicians in the management of DMD and its related co-morbidities (including skeletal health), the first internationally-endorsed, minimum standards of care were published in 2010 under the moniker “Clinical Care Considerations” [9, 10]. This document recommends that osteoporosis monitoring include spine x-rays if back pain or kyphosis is present, followed by initiation of intravenous bisphosphonate therapy if vertebral fractures are identified [10]. In the years following the inaugural 2010 Clinical Care Considerations, studies were published showing that vertebral fractures, a key manifestation of bone fragility among children and adults living with glucorticoid-treated chronic conditions, were frequently asymptomatic, necessitating routine surveillance for early detection [3, 11]. It was also better appreciated that even a single long bone fracture can signal osteoporosis in a persistently high-risk setting such as DMD, and prompt initiation of bone protection therapy is important.With this new knowledge, the latest international, minimum standards of clinical care for DMD published in 2018, known as Care Considerations [12–14], recommended routine, standardized spine imaging for early detection of vertebral fractures, combined with more timely bone-targeted (bisphosphonate) intervention in the presence of vertebral or low trauma long bone fractures [12]. At the same time, the ever-changing therapeutic landscape for the treatment of the underlying condition calls for ongoing examination of the intimate relationship between muscle and bone development in DMD, including the effect of different DMD treatment approaches on the skeletal and endocrine systems. The overall goal of such focus is to harvest discussions about optimal management that will foster bone strength and prevent fractures in this high-risk setting across all underlying disease-targeted treatment paradigms for people with DMD