Effect of age-associated oxidative stress on sperm viability, acrosomal integrity and sperm apoptosis and DNA fragmentation in Sahiwal breeding bulls.

Sperm motility is the prime functional attribute for semen quality and fertility of the bull. However, the bull's age directly affects the semen quality, and the bull's fertility and productive life decline with age. Even though research on age has been conducted in the past, it is still unclear how old a bull should be maintained at artificial insemination centers.

The Use of Novel Therapies in the Management of Haemolytic Disease of the Fetus and Newborn (HDFN): Scientific Impact Paper No. 75.

Haemolytic disease of the fetus and newborn (HDFN) is a rare condition that causes a baby to develop anaemia while growing inside the woman; or after birth. Left untreated, this may lead to stillbirth or neonatal death. HDFN is caused when the pregnant woman's antibodies cross the placenta, enter the baby's circulation, and attach to proteins called antigens (inherited from the father) on the baby's haemoglobin containing red blood cells, and cause them to break apart, causing fetal anaemia.

Congenital Cytomegalovirus Infection: Update on Screening, Diagnosis and Treatment: Scientific Impact Paper No. 56.

Cytomegalovirus (CMV) is the most common cause of viral infection in newborn babies, and affects 1 in 200 of all live born infants in high-income countries; and 1 in 71 in low- and middle-income countries. It is a major cause of hearing loss and brain damage. Women may get CMV infection for the first time during pregnancy (primary infection) or may experience 'non-primary' infection, either by reactivation of previous CMV infection or by a new infection with a different strain of the virus.

Geospatial joint modeling of vector and parasite serology to microstratify malaria transmission.

The World Health Organization identifies a strong surveillance system for malaria and its mosquito vector as an essential pillar of the malaria elimination agenda. salivary antibodies are emerging biomarkers of exposure to mosquito bites that potentially overcome sensitivity and logistical constraints of traditional entomological surveys. Using samples collected by a village health volunteer network in 104 villages in Southeast Myanmar during routine surveillance, the present study employs a Bayesian geostatistical modeling framework, incorporating climatic and environmental variables together with salivary antigen serology, to generate spatially continuous predictive maps of biting exposure.