Evidence map›Paper›PMID 36901856›Full record

ReviewInternational journal of molecular sciences2023

Mass Spectrometry-Based Untargeted Approaches to Reveal Diagnostic Signatures of Male Infertility in Seminal Plasma: A New Laboratory Perspective for the Clinical Management of Infertility?

Mariaimmacolata Preianò, Serena Correnti, Tahreem Arshad Butt, Giuseppe Viglietto, Rocco Savino, Rosa Terracciano

Full text readReview
In one paragraph

Review in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Mariaimmacolata PreianòDepartment of Health Sciences, Magna Græcia University, 88100 Catanzaro, Italy.
Serena CorrentiDepartment of Health Sciences, Magna Græcia University, 88100 Catanzaro, Italy.
Tahreem Arshad ButtDepartment of Health Sciences, Magna Græcia University, 88100 Catanzaro, Italy.ORCID 0000-0002-7523-1239
Giuseppe VigliettoDepartment of Experimental and Clinical Medicine, Magna Græcia University, 88100 Catanzaro, Italy.
Rocco SavinoDepartment of Medical and Surgical Sciences, Magna Græcia University, 88100 Catanzaro, Italy.
Rosa TerraccianoDepartment of Experimental and Clinical Medicine, Magna Græcia University, 88100 Catanzaro, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Male infertility has been recognized as a global health problem. Semen analysis, although considered the golden standard, may not provide a confident male infertility diagnosis alone. Hence, there is the urgent request for an innovative and reliable platform to detect biomarkers of infertility. The rapid expansion of mass spectrometry (MS) technology in the field of the 'omics' disciplines, has incredibly proved the great potential of MS-based diagnostic tests to revolutionize the future of pathology, microbiology and laboratory medicine. Despite the increasing success in the microbiology area, MS-biomarkers of male infertility currently remain a proteomic challenge. In order to address this issue, this review encompasses proteomics investigations by untargeted approaches with a special focus on experimental designs and strategies (bottom-up and top-down) for seminal fluid proteome profiling. The studies reported here witness the efforts of the scientific community to address these investigations aimed at the discovery of MS-biomarkers of male infertility. Proteomics untargeted approaches, depending on the study design, might provide a great plethora of biomarkers not only for a male infertility diagnosis, but also to address a new MS-biomarkers classification of infertility subtypes. From the early detection to the evaluation of infertility grade, new MS-derived biomarkers might also predict long-term outcomes and clinical management of infertility.

Indexed as

Infertility, MaleSemenBiomarkersHumansMaleMass SpectrometryProteomicsBiomarkersbiomarkerlaboratory medicinemale infertilitymass spectrometryproteomeseminal fluidseminal plasma

Identifiers

PMID36901856
PMCPMC10002484

What Socratic holds

Textfull text, public
LicenceCC BY
measurements read16
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.