Biomedical subjects

John Grove

Publications and source records attributed to John Grove.

5 recordsLinked to original sources

PubMed2006

Performance-based measures of physical function for high-function populations.

OBJECTIVES: To improve and broaden the applicability of performance-based measures of function for use in clinical and research settings. DESIGN: Cross-sectional repeated-measures study. SETTING: Research clinic. PARTICIPANTS: Population-based sample of Japanese Americans without significant functional impairments aged 35 to 55 and 56 to 71 (N=203). MEASUREMENTS: Performance-based measures of physical function, including range of standard tests, newer automated measures of balance and strength and data on cognitive function, lifestyle, medical history, and physical activity. RESULTS: Of the nonplatform balance measures, only the one-leg stand was reliable (reliability coefficient (rc) =0.69) and able to discriminate between functional levels. Combining the Fourth National Health and Nutrition Examination Survey protocol of folded arm position while standing on a foam pad with the more-sophisticated balance platform test had the highest reliability and discrimination. With the strength chair, high rcs (0.88-0.96) were found for upper and lower extremity tests. Timed chair stands, a test of lower extremity and central strength were reliable. The 6-minute walk had a high rc (0.90). CONCLUSION: Many performance tests used today are not reliable. Only a few discriminate between the most highly functioning individuals and individuals with good function. Thus, a new recommended battery includes unassisted single-leg stand, balance platform "foam pad, eyes closed," elbow flexion and knee extension strength (strength chair), grip strength, timed chair stands, and the 6-minute walk. These simple performance-based tests have good reliability and discrimination across the range of function and can be used in most clinical and research settings to quickly assess global functional level.

Adult↗

PubMed2005

Lower cancer incidence in Amsterdam-I criteria families without mismatch repair deficiency: familial colorectal cancer type X.

CONTEXT: Approximately 60% of families that meet the Amsterdam-I criteria (AC-I) for hereditary nonpolyposis colorectal cancer (HNPCC) have a hereditary abnormality in a DNA mismatch repair (MMR) gene. Cancer incidence in AC-I families with MMR gene mutations is reported to be very high, but cancer incidence for individuals in AC-I families with no evidence of an MMR defect is unknown. OBJECTIVE: To determine if cancer risks in AC-I families with no apparent deficiency in DNA MMR are different from cancer risks in AC-I families with DNA MMR abnormalities. DESIGN, SETTING, AND PARTICIPANTS: Identification (1997-2001) of 161 AC-I pedigrees from multiple population- and clinic-based sources in North America and Germany, with families grouped into those with (group A) or without (group B) MMR deficiency by tumor testing. A total of 3422 relatives were included in the analyses. MAIN OUTCOME MEASURES: Cancer incidence in groups A and B (excluding the 3 affected members used to define each pedigree as AC-I) and computed age- and sex-adjusted standardized incidence ratios (SIRs) using Surveillance, Epidemiology, and End Results data. RESULTS: Group A families from both population- and clinic-based series showed increased incidence of the HNPCC-related cancers. Group B families showed increased incidence only for colorectal cancer (SIR, 2.3; 95% confidence interval, 1.7-3.0) and to a lesser extent than group A (SIR, 6.1; 95% confidence interval, 5.2-7.2) (P<.001). CONCLUSIONS: Families who fulfill AC-I criteria but who have no evidence of a DNA MMR defect do not share the same cancer incidence as families with HNPCC-Lynch syndrome (ie, hereditary MMR deficiency). Relatives in such families have a lower incidence of colorectal cancer than those in families with HNPCC-Lynch syndrome, and incidence may not be increased for other cancers. These families should not be described or counseled as having HNPCC-Lynch syndrome. To facilitate distinguishing these entities, the designation of "familial colorectal cancer type X" is suggested to describe this type of familial aggregation of colorectal cancer.

Adaptor Proteins, Signal Transducing↗

PubMed2005

An autosomal genome-wide scan for loci linked to pre-diabetic phenotypes in nondiabetic Chinese subjects from the Stanford Asia-Pacific Program of Hypertension and Insulin Resistance Family Study.

Type 2 diabetes is a complex disease involving both genetic and environmental components. Abnormalities in insulin secretion and insulin action usually precede the development of type 2 diabetes and can serve as good quantitative measures for genetic mapping. We therefore undertook an autosomal genomic search to locate the quantitative trait locus (QTL) linked to these traits in 1,365 nondiabetic Chinese subjects from 411 nuclear families. Residuals of these log-transformed quantitative traits were analyzed in multipoint linkage analysis using a variance-components approach. The most significant QTL for fasting insulin, which coincides with the QTL for homeostasis model assessment of insulin resistance, was located at 37 cM on chromosome 20, with a maximum empirical logarithm of odds (LOD) score of 3.01 (empirical P = 0.00006) when adjusted for age, sex, BMI, antihypertensive medications, recruitment centers, and environmental factors. In the same region, a QTL for fasting glucose was identified at 51 cM, with an empirical LOD score of 2.03 (empirical P = 0.0012). There were other loci with maximum empirical LOD scores >or=1.29 located on chromosomes 1q, 2p, 5q, 7p, 9q, 10p, 14q, 18q, and 19q for different diabetes-related traits. These loci may harbor genes that regulate glucose homeostasis either independently or via interactions of the genes within these regions.

Asian People↗

PubMed2004

Physical inactivity is an important lifestyle determinant of insulin resistance in hypertensive patients.

The purpose of the study is to assess the relative impact of lifestyle factors including physical inactivity, cigarette smoking, and alcohol intake on insulin resistance in hypertensive patients. In total, 872 hypertensive patients, of Chinese and Japanese origin, from the Stanford Asia and Pacific Program for Hypertension and Insulin Resistance were included for the current analysis. Homeostasis model assessment for insulin resistance (HOMA-IR) and the insulin sensitivity index ISI0,120 were chosen as surrogate measures of insulin resistance. Standardized interview-administered questionnaires were used to obtain information on demographic and lifestyle characteristics. The sedentary hypertensive patients were more insulin resistant than the non-sedentary hypertensive. There were significant differences in Log (HOMA-IR) (0.06-unit increases, p < 0.01) and Log (ISI0,120) (0.05-unit decreases, p < 0.01) between sedentary and non-sedentary hypertensive patients after controlling demographic variables. There were no differences in insulin sensitivity in subjects with different smoking status. Neither smoking nor alcohol intake was persistently associated with insulin resistance in the analysis. Our results suggest that physical inactivity is an important lifestyle determinant of insulin resistance in hypertensive patients. The influences of smoking and alcohol intake on insulin resistance are less significant than physical inactivity in hypertensive subjects.

Adult↗

PubMed2004

Biethnic comparisons of autosomal genomic scan for loci linked to plasma adiponectin in populations of Chinese and Japanese origin.

Adiponectin is secreted by adipocytes and is thought to have insulin-sensitizing and antiatherogenic effects. Two previous genome scans for plasma adiponectin have identified different regions for European and Pima Indian populations. We here present multipoint linkage analysis of adiponectin levels using a variance-components model for 1007 siblings (from 360 nuclear families) of Chinese origin and 352 siblings (from 147 nuclear families) of Japanese origin. We found heritability for adiponectin concentrations was 0.70 for Chinese and 0.48 for Japanese. Autosomal genome scan was performed using microsatellite markers span at an interval of approximately 10 cM. Suggestive linkage of adiponectin, after adjusting for age and sex, was found on chromosome 15 at 39 cM (maximal LOD score = 3.19, P = 6.3 x 10(-5)) for Chinese; and on chromosome 18 at 28 cM (maximal LOD score = 2.40, P = 4.4 x 10(-4)) for Japanese. There were tentative loci of weak linkage on chromosomes 3, 18, and 20 in Japanese. We provide novel loci on chromosomes 15, 18, and 20 and confirm a region on chromosome 3 as reported in Pima Indians, which may influence differentially on circulating adiponectin concentrations in Chinese and Japanese populations. Further fine mapping of these regions will help to identify the gene(s) that might affect adiponectin levels.

Adiponectin↗