Summary of Study ST003276

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR002028. The data can be accessed directly via it's Project DOI: 10.21228/M8GC01 This work is supported by NIH grant, U2C- DK119886.

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This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

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Study IDST003276
Study TitleMetabolomics analysis of human spermatozoa reveals impaired metabolic pathways in asthenozoospermia (NMR data)
Study SummaryBackground: Infertility is a major health issue, affecting 15% of reproductive-age couples with male factors contributing to 50% of cases. Asthenozoospermia, or low sperm motility, is a common cause of male infertility with complex etiology, involving genetic and metabolic alterations, inflammation, and oxidative stress. However, the molecular mechanisms behind low motility are unclear. In this study, we used a metabolomics approach to identify metabolic biomarkers and pathways involved in sperm motility. Methods: We compared the metabolome and lipidome of spermatozoa of men with normozoospermia (n = 44) and asthenozoospermia (n = 22) using untargeted LC-MS and the metabolome of seminal fluid using 1H-NMR. Additionally, we evaluated the seminal fluid redox status to assess the oxidative stress in the ejaculate. Results: We identified 112 metabolites and 209 lipids in spermatozoa and 27 metabolites in the seminal fluid of normozoospermic and asthenozoospermic men. PCA analysis of the spermatozoa’s metabolomics and lipidomics data showed a clear separation between groups. Spermatozoa of asthenozoospermic men presented lower levels of several amino acids, and increased levels of energetic substrates and lysophospholipids. However, the metabolome and redox status of the seminal fluid was not altered in asthenozoospermia. Conclusions: Our results indicate impaired metabolic pathways associated with redox homeostasis and amino acid, energy, and lipid metabolism in asthenozoospermia. Taken together, these findings suggest that the metabolome and lipidome of human spermatozoa are key factors influencing their motility and that oxidative stress exposure during spermatogenesis or sperm maturation may be in the etiology of decreased motility in asthenozoospermia.
Institute
University of Aveiro
DepartmentDepartment of Chemistry
Last NameGuerra-Carvalho
First NameBárbara
AddressCampus Universitário de Santiago, 3810-193 Aveiro, Portugal
Emailbarbaraggcarvalho@gmail.com
Phone234 370 360
Submit Date2024-06-20
Num Groups2
Total Subjects57
Num Males57
Raw Data AvailableYes
Raw Data File Type(s)fid
Analysis Type DetailNMR
Release Date2024-07-25
Release Version1
Bárbara Guerra-Carvalho Bárbara Guerra-Carvalho
https://dx.doi.org/10.21228/M8GC01
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Project:

Project ID:PR002028
Project DOI:doi: 10.21228/M8GC01
Project Title:Metabolomics analysis of human spermatozoa reveals impaired metabolic pathways in asthenozoospermia
Project Summary:Background: Infertility is a major health issue, affecting 15% of reproductive-age couples with male factors contributing to 50% of cases. Asthenozoospermia, or low sperm motility, is a common cause of male infertility with complex etiology, involving genetic and metabolic alterations, inflammation, and oxidative stress. However, the molecular mechanisms behind low motility are unclear. In this study, we used a metabolomics approach to identify metabolic biomarkers and pathways involved in sperm motility. Methods: We compared the metabolome and lipidome of spermatozoa of men with normozoospermia (n = 44) and asthenozoospermia (n = 22) using untargeted LC-MS and the metabolome of seminal fluid using 1H-NMR. Additionally, we evaluated the seminal fluid redox status to assess the oxidative stress in the ejaculate. Results: We identified 112 metabolites and 209 lipids in spermatozoa and 27 metabolites in the seminal fluid of normozoospermic and asthenozoospermic men. PCA analysis of the spermatozoa’s metabolomics and lipidomics data showed a clear separation between groups. Spermatozoa of asthenozoospermic men presented lower levels of several amino acids, and increased levels of energetic substrates and lysophospholipids. However, the metabolome and redox status of the seminal fluid was not altered in asthenozoospermia. Conclusions: Our results indicate impaired metabolic pathways associated with redox homeostasis and amino acid, energy, and lipid metabolism in asthenozoospermia. Taken together, these findings suggest that the metabolome and lipidome of human spermatozoa are key factors influencing their motility and that oxidative stress exposure during spermatogenesis or sperm maturation may be in the etiology of decreased motility in asthenozoospermia.
Institute:University of Aveiro
Department:Department of Chemistry
Last Name:Guerra-Carvalho
First Name:Bárbara
Address:Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
Email:barbaraggcarvalho@gmail.com
Phone:234 370 360
Project Comments:Study part 1 of 2

Subject:

Subject ID:SU003396
Subject Type:Human
Subject Species:Homo sapiens
Taxonomy ID:9606
Age Or Age Range:20 to 49 years old
Gender:Male
Human Inclusion Criteria:Participants enrolled in this study were randomly recruited among men who attended fertility consultations at the Centre for Reproductive Genetics Professor Alberto Barros (Porto, Portugal) and the Centro Hospitalar Universitário de Santo António (Porto, Portugal) from March to June 2021. Adult men (age ≥ 18 years) diagnosed with asthenozoospermia (AS, sperm total motility < 42%) were recruited for AS group and men with normal sperm parameters (sperm concentration ≥ 15 million cells/mL, sperm count ≥ 39 million cells and sperm total motility ≥ 42%) were recruited for the control group (normozoospermia (NZ) group).
Human Exclusion Criteria:Men with a history of abusing drugs or alcoholism, under treatment or exposed to drugs known to interfere with fertility, diagnosed with acute genital inflammatory disease or with systemic disease known to affect fertility before sperm collection, survivors of cancer treatment, or men diagnosed with leukocytospermia were excluded from this study. Smoking was not included as an exclusion criterion for this study.

Factors:

Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)

mb_sample_id local_sample_id Group Sample source
SA354646N39Asthenozoospermia Human seminal fluid
SA354647N4Asthenozoospermia Human seminal fluid
SA354648N64Asthenozoospermia Human seminal fluid
SA354649N58Asthenozoospermia Human seminal fluid
SA354650N56Asthenozoospermia Human seminal fluid
SA354651N53Asthenozoospermia Human seminal fluid
SA354652N49Asthenozoospermia Human seminal fluid
SA354653N44Asthenozoospermia Human seminal fluid
SA354654N43Asthenozoospermia Human seminal fluid
SA354655N3Asthenozoospermia Human seminal fluid
SA354656N34Asthenozoospermia Human seminal fluid
SA354657N14Asthenozoospermia Human seminal fluid
SA354658N29Asthenozoospermia Human seminal fluid
SA354659N28Asthenozoospermia Human seminal fluid
SA354660N27Asthenozoospermia Human seminal fluid
SA354661N26Asthenozoospermia Human seminal fluid
SA354662N24Asthenozoospermia Human seminal fluid
SA354663N22Asthenozoospermia Human seminal fluid
SA354664N15Asthenozoospermia Human seminal fluid
SA354665N33Asthenozoospermia Human seminal fluid
SA354666N42Normozoospermia Human seminal fluid
SA354667N45Normozoospermia Human seminal fluid
SA354668N46Normozoospermia Human seminal fluid
SA354669N47Normozoospermia Human seminal fluid
SA354670N48Normozoospermia Human seminal fluid
SA354671N50Normozoospermia Human seminal fluid
SA354672N59Normozoospermia Human seminal fluid
SA354673N51Normozoospermia Human seminal fluid
SA354674N52Normozoospermia Human seminal fluid
SA354675N55Normozoospermia Human seminal fluid
SA354676N57Normozoospermia Human seminal fluid
SA354677N38Normozoospermia Human seminal fluid
SA354678N61Normozoospermia Human seminal fluid
SA354679N63Normozoospermia Human seminal fluid
SA354680N68Normozoospermia Human seminal fluid
SA354681N70Normozoospermia Human seminal fluid
SA354682N40Normozoospermia Human seminal fluid
SA354683N23Normozoospermia Human seminal fluid
SA354684N36Normozoospermia Human seminal fluid
SA354685N12Normozoospermia Human seminal fluid
SA354686N2Normozoospermia Human seminal fluid
SA354687N5Normozoospermia Human seminal fluid
SA354688N6Normozoospermia Human seminal fluid
SA354689N7Normozoospermia Human seminal fluid
SA354690N8Normozoospermia Human seminal fluid
SA354691N10Normozoospermia Human seminal fluid
SA354692N11Normozoospermia Human seminal fluid
SA354693N13Normozoospermia Human seminal fluid
SA354694N35Normozoospermia Human seminal fluid
SA354695N18Normozoospermia Human seminal fluid
SA354696N19Normozoospermia Human seminal fluid
SA354697N20Normozoospermia Human seminal fluid
SA354698N21Normozoospermia Human seminal fluid
SA354699N25Normozoospermia Human seminal fluid
SA354700N30Normozoospermia Human seminal fluid
SA354701N31Normozoospermia Human seminal fluid
SA354702N16Normozoospermia Human seminal fluid
Showing results 1 to 57 of 57

Collection:

Collection ID:CO003389
Collection Summary:Human seminal samples were obtained through masturbation into a specific sterile container after 2 to 4 days of sexual abstinence. After collection, samples were left at 37°C until complete liquefaction and sperm parameters (semen pH, ejaculate volume, sperm concentration, sperm count and sperm motility) were analyzed according to the WHO guidelines. After routine semen analysis, spermatozoa were separated from the seminal fluid through centrifugation at 500.g for 5 min. Seminal fluid was collected into new centrifuge tubes and stored at -80°C until further use.
Sample Type:Seminal plasma
Storage Conditions:-80℃

Treatment:

Treatment ID:TR003405
Treatment Summary:Participants enrolled in this study were randomly recruited among men who attended fertility consultations at the Centre for Reproductive Genetics Professor Alberto Barros (Porto, Portugal) and the Centro Hospitalar Universitário de Santo António (Porto, Portugal) from March to June 2021. Adult men (age ≥ 18 years) diagnosed with asthenozoospermia (AS, sperm total motility < 42%) were recruited for AS group and men with normal sperm parameters (sperm concentration ≥ 15 million cells/mL, sperm count ≥ 39 million cells and sperm total motility ≥ 42%) were recruited for the control group (normozoospermia (NZ) group).

Sample Preparation:

Sampleprep ID:SP003403
Sampleprep Summary:Seminal fluid samples were allowed to thaw at room temperature and homogenized using a vortex mixer. Then, samples were centrifuged at 20000.g for 20 min at 4°C to remove any insoluble particles. After centrifugation, 45 µL of seminal fluid was diluted in 135 µL of deuterated water and 45 µL of a 10 mM sodium fumarate in 0.2 M phosphate buffer (pH 7.0) deuterated water (99.9%) solution.

Analysis:

Analysis ID:AN005364
Analysis Type:NMR
Num Factors:2
Num Metabolites:23
Units:normalized areas

NMR:

NMR ID:NM000284
Analysis ID:AN005364
Instrument Name:500 MHz Bruker Avance III HD
Instrument Type:FT-NMR
NMR Experiment Type:1D-1H
NMR Comments:The samples were transferred to 3-mm NMR tubes (Norell, Landisville, NJ, USA) and analyzed using the NOR5X3INSB optimizer inserts (Norell, Landisville, NJ, USA) on a 500 MHz Bruker Avance III HD spectrometer equipped with a 5 mm TXI probe (Bruker Corporation, Billerica, MA, USA), working at 298K. Solvent-suppressed 1D-1H-NMR spectra were acquired using a zgpr pulse sequence, with a sweep width of 7 kHz, relaxation delay of 7 s, pulse angle of 30°, acquisition time of 2.3 s and 64 scans. Spectra were processed by applying a line broadening of 0.2 Hz before Fourier transformation, and manually phased and baseline corrected. Sodium fumarate (6.50 ppm) was used as an internal reference for chemical shifts and metabolite quantification. The NUTS-Pro NMR software (Acorn NMR, Inc, Fremont, CA, USA) was used for the processing of the spectra and the quantification of the metabolites. Peaks were assigned by comparing the acquired spectra with reference spectra in Chenomx (Chenomx Inc. Edmonton, Canada) and the Human Metabolome Database (HMDB) V 5.0. 1H-NMR metabolomics data was analyzed using Metaboanalyst 5.0 online (https://www.metaboanalyst.ca/). Missing data was replaced by feature mean and data was log-transformed.
Spectrometer Frequency:500 MHz
NMR Probe:5 mm TXI probe
NMR Solvent:D2O
NMR Tube Size:3mm
Pulse Sequence:zgpr
Water Suppression:Yes
Receiver Gain:203
Offset Frequency:4.696 ppm
Presaturation Power Level:50 dB
Temperature:25
Number Of Scans:64
Dummy Scans:2
Acquisition Time:2.3 sec
Relaxation Delay:7 sec
Spectral Width:14 ppm
Line Broadening:0.2 Hz
Chemical Shift Ref Std:Fumarate (doublet, 6.50 ppm)
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