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Background. Currently, there are few studies on the effects of hyperlipidemia on semen parameters and serum hormones in men. In this study, we divided the study subjects into two groups of normal and hyperlipidemia according to the criteria, and observed the differences between semen parameters and serum reproductive hormones in hyperlipidaemic men and normal men, to explore the potential associations between the indicators. Materials and Methods. Eight hundred eighty five men attending infertility clinics in six hospitals from September 2016 to June 2017 were selected. Their lipid levels, semen parameters, and serum reproductive hormone levels were tested, and a total of 480 men with normal lipids and 405 men with hyperlipidemia were selected according to the criteria, and the relationship between semen quality, serum reproductive hormones, lipids and semen parameters, and serum hormones was statistically analyzed. Results. There was no significant difference in semen parameters between hyperlipidaemic men and normal men (P >0:05), serum testosterone levels were significantly lower in hyperlipidaemic men (P <0:05), and there was a negative correlation between triglycerides (TG) and testosterone in the blood (P <0:05).Conclusion. Hyperlipidemia does not affect male semen parameters, and changes in testosterone in hyperlipidaemic men may be related to triglycerides. [ABSTRACT FROM AUTHOR]

Objective • To evaluate the performance of matrixassisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) in the identification of clinical pathogenic microorganisms. Methods • Blood culture-positive specimens were collected from inpatients in our hospital from March to December 2022 and identified using VITEK 2XL (biochemical), VITEK MS (colony), VITEK MS (bacterial membrane) and VITEK MS (separating gel) methods, respectively, to compare the compliance rate and identification values of the four methods. Results • A total of 280 strains were included in the analysis, including 155 (55.36%) Gram-negative and 125 (44.64%) Gram-positive strains. 279 (99.64%) of the 280 strains were identified by VITEK 2XL (biochemical), including 154 (99.35%) Gram-negative and 125 (100%) Gram-positive strains. VITEK MS (colony) identified 278 (99.29%) strains, including 153 (98.71%) Gram-negative and 125 (100%) Gram-positive. 261 (93.21%) strains were identified in VITEK MS (bacterial membrane), including 148 (95.48%) Gram-negative and 113 (90.40%) Grampositive strains. VITEK MS (separating gel) identified 232 (82.86%) strains, including 136 (87.74%) Gram-negative and 96 (76.80%) Gram-positive strains. Conclusion • MALDI-TOF MS findings are highly consistent with traditional culture identification methods in terms of identification accuracy, and the VITEK MS (bacterial membrane) and VITEK MS (separating gel) identification methods significantly reduce the turnaround time for identification in the laboratory. [ABSTRACT FROM AUTHOR]

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