The goal of this project is to develop and apply incisive, advanced but practical methods for analysis of spermatozoa, which can be used in the analysis and prediction of human fertility and its perturbations. The focus and orientation of this work are motivated by the need to apply such methods, in a standardized form, to the evaluation of hazards to human reproductive health that may arise in the environment or the workplace. The proposed studies have technological components which lead to new biostatistical methodologies which are applied to basic biomedical questions. The first Specific Aim consolidates, optimizes and then standardizes the machine vision technology (CASA-computer-aided sperm analysis) used to measure human sperm motion and morphology. It improves existing systems, by optimizing the accuracy, precision and biological relevance of the parameters which they measure. In so doing, it will provide computer codes and standard reference videotapes to all interested laboratories for calibration and quality control of any CASA system. The second and third Specific Aims apply the increased power of this newly developed technology to analysis of the relationship between human semen quality and fertility. The analytic strategy is not simply to characterize the semen of men whose fertility status is well-defined, but to develop new mathematical relationships which predict the likelihood of future fertility on the basis of parameters of present and past semen quality. Such relationships should prove to be more incisive tools for assessing the consequences of hazards to fertility than the traditional use of normative range for semen parameters. Three groups of men will be prospectively studied, and the results then integrated: normal men, representative of the general population, who abandon contraception and seek to conceive (Specific Aim 2); infertility patients who have abnormal semen by traditional standards (Specific Aim 3); and infertility patients who have traditionally normal semen (Specific Aim 3). The wives of the infertility patients will have been clinically assessed to have no apparent reproductive dysfunction. The fertility of all these men will be monitored, and the incidence of early spontaneous pregnancy loss will be determined for the first group. The results of Specific Aims 2 and 3 will have obvious application in the general assessment of human male fertility. They will also provide analytic tools, which can be immediately combined with the advanced but streamlined technology from Specific Aim 1, to applications in field studies of hazards to human fertility.

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Research Project (R01)
Project #
2R01ES003614-04
Application #
3251084
Study Section
Reproductive Biology Study Section (REB)
Project Start
1986-09-01
Project End
1995-02-28
Budget Start
1990-03-01
Budget End
1991-02-28
Support Year
4
Fiscal Year
1990
Total Cost
Indirect Cost
Name
University of California Davis
Department
Type
Schools of Medicine
DUNS #
094878337
City
Davis
State
CA
Country
United States
Zip Code
95618
Davis, R O; Gravance, C G (1994) Consistency of sperm morphology classification methods. J Androl 15:83-91
Davis, R O; Katz, D F (1993) Operational standards for CASA instruments. J Androl 14:385-94
Owen, D H; Katz, D F (1993) Sampling factors influencing accuracy of sperm kinematic analysis. J Androl 14:210-21
Davis, R O; Gravance, C G (1993) Standardization of specimen preparation, staining, and sampling methods improves automated sperm-head morphometry analysis. Fertil Steril 59:412-7
Davis, R O; Niswander, P W; Katz, D F (1992) New measures of sperm motion. I. Adaptive smoothing and harmonic analysis. J Androl 13:139-52
Davis, R O; Boyers, S P (1992) The role of digital image analysis in reproductive biology and medicine. Arch Pathol Lab Med 116:351-63
Boyle, C A; Khoury, M J; Katz, D F et al. (1992) The relation of computer-based measures of sperm morphology and motility to male infertility. Epidemiology 3:239-46
Davis, R O; Rothmann, S A; Overstreet, J W (1992) Accuracy and precision of computer-aided sperm analysis in multicenter studies. Fertil Steril 57:648-53
Davis, R O; Katz, D F (1989) Computer-aided sperm analysis (CASA): image digitization and processing. Biomater Artif Cells Artif Organs 17:93-116
Schenker, M B; Samuels, S J; Perkins, C et al. (1988) Prospective surveillance of semen quality in the workplace. J Occup Med 30:336-44

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