Lipoprotein(a) (Lp[a]) is an established predictor of cardiovascular risk but associations with secondary events are less certain, and data on understudied ethnic groups are scarce. This study aimed t Show more
Lipoprotein(a) (Lp[a]) is an established predictor of cardiovascular risk but associations with secondary events are less certain, and data on understudied ethnic groups are scarce. This study aimed to assess the association between Lp(a) and secondary events and explore variation in Lp(a) levels by ethnicity in first-time acute coronary syndrome (ACS) patients, to inform future risk prediction models. The Multi-Ethnic New Zealand Study of Acute Coronary Syndromes (MENZACS) is a longitudinal multi-centre cohort study of 1900 patients enrolled during their ACS admission. Baseline plasma Lp(a) concentrations were measured using an isoform-insensitive assay measured in nmol/L. The primary outcome was a composite of all-cause mortality or cardiovascular readmission, ascertained through national health datasets. Cox regression models were used to assess the association between Lp(a) levels and outcomes, adjusted for clinical risk factors. The mean age was 61 years, 20 % were female, and 73 % were European, 14 % Māori, 5 % Pacific peoples, 4 % Indian and 3 % other ethnicities. Of 1890 alive at discharge, 493 (26 %) experienced the primary outcome over a median follow-up of 4.9 years. Higher Lp(a) levels were associated with increased risk of secondary events. Compared to the lowest quartile (≤7 nmol/L), the adjusted hazard ratio for the highest quartile (>92 nmol/L) was 1.46 (95 %CI 1.12-1.89, p = 0.004). In this ACS cohort, Lp(a) concentrations varied by ethnicity, being highest amongst Indian participants (median 27 nmol/L) and lowest amongst Māori participants (median 12 nmol/L). Elevated Lp(a) concentrations are associated with secondary events following ACS. Further research is needed to define optimal thresholds for increased risk and explore ethnic-specific implications for secondary prevention. Show less
Prediction of post-stroke depressive symptoms (DSs) is challenging in patients without a history of depression. Gene expression profiling in blood cells may facilitate the search for biomarkers. The u Show more
Prediction of post-stroke depressive symptoms (DSs) is challenging in patients without a history of depression. Gene expression profiling in blood cells may facilitate the search for biomarkers. The use of an ex vivo stimulus to the blood helps to reveal differences in gene profiles by reducing variation in gene expression. We conducted a proof-of-concept study to determine the usefulness of gene expression profiling in lipopolysaccharide (LPS)-stimulated blood for predicting post-stroke DS. Out of 262 enrolled patients with ischemic stroke, we included 96 patients without a pre-stroke history of depression and not taking any anti-depressive medication before or during the first 3 months after stroke. We assessed DS at 3 months after stroke using the Patient Health Questionnaire-9. We used RNA sequencing to determine the gene expression profile in LPS-stimulated blood samples taken on day 3 after stroke. We constructed a risk prediction model using a principal component analysis combined with logistic regression. We diagnosed post-stroke DS in 17.7% of patients. Expression of 510 genes differed between patients with and without DS. A model containing 6 genes (PKM, PRRC2C, NUP188, CHMP3, H2AC8, NOP10) displayed very good discriminatory properties (area under the curve: 0.95) with the sensitivity of 0.94 and specificity of 0.85. Our results suggest the potential utility of gene expression profiling in whole blood stimulated with LPS for predicting post-stroke DS. This method could be useful for searching biomarkers of post-stroke depression. Show less
Men diagnosed with low-risk prostate cancer (PC) are increasingly electing active surveillance (AS) as their initial management strategy. While this may reduce the side effects of treatment for prosta Show more
Men diagnosed with low-risk prostate cancer (PC) are increasingly electing active surveillance (AS) as their initial management strategy. While this may reduce the side effects of treatment for prostate cancer, many men on AS eventually convert to active treatment. PC is one of the most heritable cancers, and genetic factors that predispose to aggressive tumors may help distinguish men who are more likely to discontinue AS. To investigate this, we undertook a multi-institutional genome-wide association study (GWAS) of 5,222 PC patients and 1,139 other patients from replication cohorts, all of whom initially elected AS and were followed over time for the potential outcome of conversion from AS to active treatment. In the GWAS we detected 18 variants associated with conversion, 15 of which were not previously associated with PC risk. With a transcriptome-wide association study (TWAS), we found two genes associated with conversion ( Show less
Spermatogenesis is the process by which spermatogonial stem cells divide and differentiate to produce sperm. In vitro sperm production has been difficult to achieve because of the lack of a culture sy Show more
Spermatogenesis is the process by which spermatogonial stem cells divide and differentiate to produce sperm. In vitro sperm production has been difficult to achieve because of the lack of a culture system to maintain viable spermatogonia for long periods of time. Here we report the in vitro generation of spermatocytes and spermatids from telomerase-immortalized mouse type A spermatogonial cells in the presence of stem cell factor. This differentiation can occur in the absence of supportive cells. The immortalized spermatogonial cell line may serve as a powerful tool in elucidating the molecular mechanisms of spermatogenesis. Furthermore, through genomic modification and transplantation techniques, this male germ cell line may be used to generate transgenic mice and to develop germ cell gene therapy. Show less