Next Article in Journal
Special Issue: “Machine Learning for Computer-Aided Diagnosis in Biomedical Imaging”
Previous Article in Journal
Radiomics in Oncological PET Imaging: A Systematic Review—Part 2, Infradiaphragmatic Cancers, Blood Malignancies, Melanoma and Musculoskeletal Cancers
 
 
Article
Peer-Review Record

Evaluation of a Maternal Plasma RNA Panel Predicting Spontaneous Preterm Birth and Its Expansion to the Prediction of Preeclampsia

Diagnostics 2022, 12(6), 1327; https://doi.org/10.3390/diagnostics12061327
by Carl Philip Weiner 1,2,*,†,‡, Howard Cuckle 3, Mark Louis Weiss 4, Irina Alexandra Buhimschi 5, Yafeng Dong 1,2, Helen Zhou 1, Risa Ramsey 6, Robert Egerman 7 and Catalin Sorin Buhimschi 5
Reviewer 1:
Reviewer 2:
Diagnostics 2022, 12(6), 1327; https://doi.org/10.3390/diagnostics12061327
Submission received: 1 May 2022 / Revised: 25 May 2022 / Accepted: 25 May 2022 / Published: 27 May 2022
(This article belongs to the Section Pathology and Molecular Diagnostics)

Round 1

Reviewer 1 Report

Very interesting and promising topic. 

What do you understand by mechanical in the sentence "In current standard of care, PTB predictors used include historical, biological, and mechanical markers" ?

Please explain how your work can be implemented in sPB and PE algorithm mainly in terms of cost-efficiency.

Author Response

See attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

In this study authors evaluated a panel of 5 plasma cell free (PCF) RNAs (PSME2, NAMPT, APOA1, APOA4 and Hsa-Let 7g) as prognostic marker for PTL/PPROM and Preeclampsia. They found that PSME2 and Hsa-Let-7g were differentially expressed in cases of PTL/PPROM providing an good predictive accuracy with AUC of 0.76. Moreover, combining PSME2 and Hsa-Let-7g RNAs with clinical characteristics of patients improved PTL/PPROM  predictivity leading to an AUC of 0.83. In addition, NAMPT and APOA1 values coul predict early onset preeclampsia showing an AUC of 0.89. Combining the NAMPT and APOA1 RNAs with clinical characteristics increased AUC to 0.96. 

Manuscript is very interesting and generally well written. Only some points need to be improved. In particular:  

  • Introduction must be implemented since it does not give an idea of the charachteristc of PTB and PE. The altered values of (PCF) RNAs found in PE can be due to the trophoblast immaturity (PMID: 32529396) and vascular dysfunctions (PMID: 34831277) characterising this pathology. Moreover, endometrial inflammation found in preterm birth (PMID: 28466813) could also partecipate to (PCF) RNAs alteration. In fact, increased IFN-ϒ found in preterm delivery (PMID: 12854735) can modulate PSME2 (PMID: 26402139).Moreover, authors should highlight the benefits of using RNA markers in comparison to proteic markers of preterm labor already studied (PMID:32102578, 17992705, 19911417). This would add further importance to the study. 
  • To my opinion, authors should replace "non cases" with controls

Author Response

Please see attachment.

Author Response File: Author Response.docx

Back to TopTop