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BackgroundThe prospective cohort study design is ideal for examining diseases of public health importance, as its inherent temporal nature renders it advantageous for studying early life influences on health outcomes and research questions of aetiological significance. This paper will describe the development and characteristics of the All Our Babies (AOB) study, a prospective pregnancy cohort in Calgary, Alberta, Canada designed to examine determinants of maternal, infant, and child outcomes and identify barriers and facilitators in health care utilization.MethodsWomen were recruited from health care offices, communities, and through Calgary Laboratory Services before 25 weeks gestation from May 2008 to December 2010. Participants completed two questionnaires during pregnancy, a third at 4 months postpartum, and are currently being followed-up with questionnaires at 12, 24, and 36 months. Data was collected on pregnancy history, demographics, lifestyle, health care utilization, physical and mental health, parenting, and child developmental outcomes and milestones. In addition, biological/serological and genetic markers can be extracted from collected maternal and cord blood samples.ResultsA total of 4011 pregnant women were eligible for recruitment into the AOB study. Of this, 3388 women completed at least one survey. The majority of participants were less than 35 years of age, Caucasian, Canadian born, married or in a common-law relationship, well-educated, and reported household incomes above the Calgary median. Women who discontinued after the first survey (n=123) were typically younger, non-Caucasian, foreign-born, had lower education and household income levels, were less likely to be married or in a common-law relationship, and had poor psychosocial health in early pregnancy. In general, AOB participants reflect the pregnant and parenting population at local and provincial levels, and perinatal indicators from the study are comparable to perinatal surveillance data.ConclusionsThe extensive and rich data collected in the AOB cohort provides the opportunity to answer complex questions about the relationships between biology, early experiences, and developmental outcomes. This cohort will contribute to the understanding of the biologic mechanisms and social/environmental pathways underlying associations between early and later life outcomes, gene-environment interactions, and developmental trajectories among children.

BackgroundModern diets have been suggested to increase systemic acid load and net acid excretion. In response, alkaline diets and products are marketed to avoid or counteract this acid, help the body regulate its pH to prevent and cure disease. The objective of this systematic review was to evaluate causal relationships between dietary acid load and osteoporosis using Hill's criteria.MethodsSystematic review and meta-analysis. We systematically searched published literature for randomized intervention trials, prospective cohort studies, and meta-analyses of the acid-ash or acid-base diet hypothesis with bone-related outcomes, in which the diet acid load was altered, or an alkaline diet or alkaline salts were provided, to healthy human adults. Cellular mechanism studies were also systematically examined.ResultsFifty-five of 238 studies met the inclusion criteria: 22 randomized interventions, 2 meta-analyses, and 11 prospective observational studies of bone health outcomes including: urine calcium excretion, calcium balance or retention, changes of bone mineral density, or fractures, among healthy adults in which acid and/or alkaline intakes were manipulated or observed through foods or supplements; and 19 in vitro cell studies which examined the hypothesized mechanism. Urine calcium excretion rates were consistent with osteoporosis development; however calcium balance studies did not demonstrate loss of whole body calcium with higher net acid excretion. Several weaknesses regarding the acid-ash hypothesis were uncovered: No intervention studies provided direct evidence of osteoporosis progression (fragility fractures, or bone strength as measured using biopsy). The supporting prospective cohort studies were not controlled regarding important osteoporosis risk factors including: weight loss during follow-up, family history of osteoporosis, baseline bone mineral density, and estrogen status. No study revealed a biologic mechanism functioning at physiological pH. Finally, randomized studies did not provide evidence for an adverse role of phosphate, milk, and grain foods in osteoporosis.ConclusionsA causal association between dietary acid load and osteoporotic bone disease is not supported by evidence and there is no evidence that an alkaline diet is protective of bone health.

Analytical methods which are capable of determining the plasma or serum metalloproteome have inherent diagnostic value for human diseases associated with increased or decreased concentrations of specific plasma metalloproteins. We have therefore systematically developed a method to rapidly determine the major Cu-, Fe-, and Zn-containing metalloproteins in rabbit plasma (0.5 mL) based on size-exclusion chromatography (SEC; stationary phase Superdex 200, mobile phase phosphate-buffered saline pH 7.4) and the simultaneous online detection of Cu, Fe, and Zn in the column effluent by an inductively coupled plasma atomic emission spectrometer (ICP-AES). Whereas most previous studies reported on the analysis of serum, our investigations clearly demonstrated that the analysis of plasma within 30 min of collection results in the detection of one more Cu peak (blood coagulation factor V) than has been previously reported (transcuprein, ceruloplasmin, albumin-bound Cu, and small molecular weight Cu). The average amount of Cu associated with these five proteins corresponded to 21, 18, 21, 30 and 10% of total plasma Cu, respectively. In contrast, only two Fe metalloproteins (ferritin and transferrin, corresponding to an average of 9 and 91% of total plasma Fe) and approximately five Zn metalloproteins (alpha(2)-macroglobulin and albumin-bound Zn, which corresponded to an average of 10 and 57% of total [corrected] plasma Zn) were detected. Metalloproteins were assigned on the basis of the coelution of the corresponding metal and protein identified by immunoassays or activity-based enzyme assays. The SEC-ICP-AES approach developed allowed the determination of approximately 12 Cu, Fe, and Zn metalloproteins in rabbit plasma within approximately 24 min and can be applied to analyze human plasma, which is potentially useful for diagnosing Cu-, Fe-, and Zn-related diseases.