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pmid:38069004

Exploring the Potential of Olfactory Receptor Circulating RNA Measurement for Preeclampsia Prediction and Its Linkage to Mild Gestational Hypothyroidism.

Andréa Harumy de Lima Hirata · Luiz Antônio de Jesus Rocha Camargo · Valdelena Alessandra da Silva · Robson José de Almeida · Lucas Dos Santos Bacigalupo · Maria Clara Albejante · Flavia Salomão d'Avila Curi · Patrícia Varela · Leonardo Martins · João Bosco Pesquero · Humberto Delle · Cleber P Camacho

International journal of molecular sciences · 2023 doi:10.3390/ijms242316681

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title
Exploring the Potential of Olfactory Receptor Circulating RNA Measurement for Preeclampsia Prediction and Its Linkage to Mild Gestational Hypothyroidism.
doi
10.3390/ijms242316681
pmid
38069004
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[0]
Andréa Harumy de Lima Hirata
[1]
Luiz Antônio de Jesus Rocha Camargo
[2]
Valdelena Alessandra da Silva
[3]
Robson José de Almeida
[4]
Lucas Dos Santos Bacigalupo
[5]
Maria Clara Albejante
[6]
Flavia Salomão d'Avila Curi
[7]
Patrícia Varela
[8]
Leonardo Martins
[9]
João Bosco Pesquero
[10]
Humberto Delle
[11]
Cleber P Camacho
journal
International journal of molecular sciences
year
2023
abstract
Gestational hypothyroidism may lead to preeclampsia development. However, this pathophysiological is unknown. We expect to find a shared mechanism by comparing hypothyroidism and preeclampsia. From our transcriptome data, we recognized olfactory receptors as that fingerprint. The reduction of taste and smell in hypothyroid patients has been known for a long time. Therefore, we decided to look to the olfactory receptors and aimed to identify genes capable of predicting preeclampsia (PEC). Methods: An Ion Proton Sequencer (Thermo Fisher Scientific, Waltham, MA, USA) was used to construct the transcriptome databases. RStudio with packages Limma v.3.50.0, GEOquery v.2.62.2, and umap v.0.2.8.8 were used to analyze the differentially expressed genes in GSE149440 from the Gene Expression Omnibus (GEO). The 7500 Real-Time PCR System (Applied Biosystems, Foster City, CA, USA) was used for RT-qPCR amplification of OR6X1 and OR4E2. Results: Our transcriptomic datasets analysis revealed 25.08% and 26.75% downregulated olfactory receptor (ORs) in mild nontreated gestational hypothyroidism (GHT) and PEC, respectively. In the GSE149440 GEO dataset, we found OR5H1, OR5T3, OR51A7, OR51B6, OR10J5, OR6C6, and OR2AG2 as predictors of early-onset PEC. We also evaluate two chosen biomarkers' responses to levothyroxine. The RT-qPCR demonstrated a difference in OR6X1 and OR4E2 expression between GHT and healthy pregnancy (p < 0.05). Those genes presented a negative correlation with TSH (r: -0.51, p < 0.05; and r: -0.44, p < 0.05), a strong positive correlation with each other (r: 0.89; p < 0.01) and the levothyroxine-treated group had no difference from the healthy one. We conclude that ORs could be used as biomarkers at the beginning of gestation, and the downregulated ORs found in GHT may be improved with levothyroxine treatment.
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Cox regression was used to calculate the Hazard Ratio. The Kaplan–Meier method was used with the log-rank test for the preeclampsia onset analysis.
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sections[18] "4.8.2. Statistical Analysis" paragraph 3
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Cox regression was used to calculate the Hazard Ratio. The Kaplan–Meier method was used with the log-rank test for the preeclampsia onset analysis.
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Data available on request due to restrictions eg privacy or ethical. The data presented in this study are available on request from the corresponding author. The data are not publicly available due to the unfinished project involving these data.
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Our transcriptomic datasets analysis revealed 25.08% and 26.75% downregulated olfactory receptor (ORs) in mild nontreated gestational hypothyroidism (GHT) and PEC, respectively.
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Our transcriptomic datasets analysis revealed 25.08% and 26.75% downregulated olfactory receptor (ORs) in mild nontreated gestational hypothyroidism (GHT) and PEC, respectively.
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Our transcriptomic datasets analysis revealed 25.08% and 26.75% downregulated olfactory receptor (ORs) in mild nontreated gestational hypothyroidism (GHT) and PEC, respectively.
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[412]
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[413]
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[414]
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[415]
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[416]
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[417]
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[418]
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[419]
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[420]
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[421]
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[422]
GSM4501751
[423]
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[424]
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[425]
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[426]
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[427]
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[428]
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[429]
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[430]
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[431]
GSM4501760
[432]
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[433]
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[434]
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[435]
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[436]
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[437]
GSM4501766
[438]
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[439]
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[440]
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[441]
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[442]
GSM4501771
[443]
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[444]
GSM4501773
[445]
GSM4501774
[446]
GSM4501775
[447]
GSM4501776
[448]
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[449]
GSM4501778
[450]
GSM4501779
[451]
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[452]
GSM4501781
[453]
GSM4501782
[454]
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[455]
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[456]
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[457]
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[458]
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[459]
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[460]
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[461]
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[462]
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[463]
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[464]
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[465]
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[466]
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[467]
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[468]
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[469]
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[470]
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[471]
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[472]
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[473]
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[474]
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[475]
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[476]
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[477]
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[478]
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[479]
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[480]
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[481]
GSM4501810
[482]
GSM4501811
[483]
GSM4501812
[484]
GSM4501813
[485]
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[486]
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[487]
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[488]
GSM4501817
[489]
GSM4501818
[490]
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[491]
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[492]
GSM4501821
[493]
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[494]
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[495]
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[496]
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[497]
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[498]
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[510]
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[525]
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[526]
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[527]
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[528]
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[529]
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[530]
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[531]
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[532]
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[533]
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[534]
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[536]
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[537]
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[538]
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[539]
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[540]
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[541]
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[542]
GSM4501871
[543]
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[544]
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[545]
GSM4501874
[546]
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[547]
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[548]
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[549]
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[550]
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[551]
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[552]
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[553]
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[554]
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[555]
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[556]
GSM4501885
[557]
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[558]
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[559]
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[560]
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[561]
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[562]
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[563]
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[564]
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[571]
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[573]
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[575]
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[580]
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[581]
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[582]
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[583]
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[584]
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[585]
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[586]
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[587]
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[588]
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[589]
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[590]
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[591]
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[592]
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[593]
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[594]
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[595]
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[596]
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[597]
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[598]
GSM4501927
[599]
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[600]
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[601]
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[602]
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[603]
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[604]
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[605]
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[606]
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[607]
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[608]
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[609]
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[610]
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[611]
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[612]
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[613]
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[614]
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[615]
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[616]
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[617]
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[618]
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[619]
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[620]
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[621]
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[622]
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[623]
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[624]
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[625]
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[626]
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[627]
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[628]
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[629]
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[630]
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[631]
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[632]
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[633]
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[634]
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[635]
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[636]
GSM4501965
[637]
GSM4501966
[638]
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[639]
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[640]
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[641]
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[642]
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[643]
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[644]
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[645]
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[646]
GSM4501975
[647]
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[648]
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[649]
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[650]
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[651]
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[652]
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[653]
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[654]
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[661]
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[662]
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[663]
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[664]
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[671]
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[672]
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[673]
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[674]
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[675]
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[676]
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[677]
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[678]
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[679]
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[680]
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[681]
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[682]
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[683]
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[684]
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[685]
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[686]
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[687]
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[688]
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[689]
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[690]
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[691]
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[692]
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[693]
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[694]
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[695]
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[696]
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[697]
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[698]
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[699]
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[700]
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[701]
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[702]
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[703]
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[704]
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[705]
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[710]
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[717]
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[718]
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[719]
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[721]
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[722]
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[723]
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[724]
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[725]
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[726]
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[727]
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[730]
GSM4502059
[731]
GSM4502060
[732]
GSM4502061
[733]
GSM4502062
[734]
GSM4502063
sample_count
735
group_sizes
null
group_sizes_basis
null
platform
28460
taxon
Homo sapiens
title
Whole blood transcriptomics data in normal pregnancy, preterm birth and early preeclampsia
resolution_checked_at
2026-11-01T19:09:46Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[3] object · 15 fields
id
data:geo:GSE157148
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE157148
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE157148
version
null
note
Data available on request due to restrictions eg privacy or ethical. The data presented in this study are available on request from the corresponding author. The data are not publicly available due to the unfinished project involving these data.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Data available on request due to restrictions eg privacy or ethical. The data presented in this study are available on request from the corresponding author. The data are not publicly available due to the unfinished project involving these data.
access_statement_kind
data_availability_statement
sample_accessions array · 8 items
[0]
GSM4756678
[1]
GSM4756679
[2]
GSM4756680
[3]
GSM4756681
[4]
GSM4756682
[5]
GSM4756683
[6]
GSM4756684
[7]
GSM4756685
sample_count
8
group_sizes
null
group_sizes_basis
null
platform
17303
taxon
Homo sapiens
title
Expression of the olfactory receptors OR6X1 and OR4E2 decreases in hypothyroidism and is reversible with levothyroxine treatment in pregnancy
resolution_checked_at
2026-11-01T19:09:46Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 6 items
[0]
asset:data:geo:GSE147527 not downloaded
[1]
asset:data:geo:GSE147527 licence not read
[2]
asset:data:geo:GSE149440 not downloaded
[3]
asset:data:geo:GSE149440 licence not read
[4]
asset:data:geo:GSE157148 not downloaded
[5]
asset:data:geo:GSE157148 licence not read
analysis object · 4 fields
state
partial
methods array · 5 items
[0] object · 10 fields
id
method-1
family
survival_analysis
specific
cox_proportional_hazards
label
Survival analysis
dsl_operations array · 1 item
[0]
cox_ph
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
1
band
verbatim
quote
Cox regression was used to calculate the Hazard Ratio. The Kaplan–Meier method was used with the log-rank test for the preeclampsia onset analysis.
[1] object · 10 fields
id
method-2
family
group_comparison
specific
anova
label
Group comparison
dsl_operations array · 4 items
[0]
group_summary
[1]
welch_t
[2]
bootstrap_mean_difference
[3]
group_comparison_anova
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
two_or_more_groups_continuous
evidence object · 3 fields
score
0.8
band
high
quote
ANOVA
[2] object · 10 fields
id
method-3
family
survival_analysis
specific
log_rank_test
label
Survival analysis
dsl_operations array · 1 item
[0]
logrank_test
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.8
band
high
quote
log-rank
[3] object · 10 fields
id
method-4
family
differential_expression
specific
limma_voom
label
Differential expression analysis
dsl_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
count_matrix_with_condition
evidence object · 3 fields
score
0.7
band
medium
quote
Limma
[4] object · 10 fields
id
method-5
family
diagnostic_evaluation
specific
roc
label
Diagnostic test evaluation
dsl_operations array · 6 items
[0]
confusion_counts
[1]
roc_curve
[2]
sensitivity_specificity
[3]
solve_confusion_matrix
[4]
classification_metrics
[5]
published_precision_envelope
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
reference_standard_and_test
evidence object · 3 fields
score
0.8
band
high
quote
ROC curve
targets array · 0 items
gaps array · 1 item
[0]
method.reader_differs_from_extractor
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 1 item
[0]
cox_ph
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: cox_proportional_hazards.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 3 items
[0]
GSE147527
[1]
GSE157148
[2]
GSE149440
resolved_accessions array · 3 items
[0]
GSE147527
[1]
GSE157148
[2]
GSE149440
statements array · 1 item
[0]
Data available on request due to restrictions eg privacy or ethical. The data presented in this study are available on request from the corresponding author. The data are not publicly available due to the unfinished project involving these data.
basis
The paper names GSE147527, GSE157148, GSE149440 in National Center for Biotechnology Information (NCBI) GEO DataSets database and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 1 item
[0]
cox_ph
assets array · 2 items
[0]
source:pmid:38069004
[1]
data:geo:GSE147527
steps array · 1 item
[0]
run_analysis
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE147527
gaps array · 0 items
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-11-01T19:01:55Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
9928
completion_tokens
1831
cached_tokens
264
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
gaps array · 3 items
[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
mode
null
runs array · 0 items
gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:38069004
type
paper
label
pmid:38069004
[1] object · 3 fields
id
source:pmid:38069004
type
manuscript
label
PMID 38069004 full text
[2] object · 3 fields
id
data:geo:GSE147527
type
dataset
label
GEO GSE147527
activities array · 3 items
[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
classification
used array · 3 items
[0] object · 3 fields
id
pmid:38069004
type
paper
label
pmid:38069004
[1] object · 3 fields
id
source:pmid:38069004
type
manuscript
label
PMID 38069004 full text
[2] object · 3 fields
id
data:geo:GSE147527
type
dataset
label
GEO GSE147527
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-38069004
type
extraction
used array · 1 item
[0]
source:pmid:38069004
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE147527
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE147527
agent
agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
id
agent:corpus-assay-engine
type
software
label
Corpus assay engine
[1] object · 3 fields
id
agent:minimax-reader
type
software
label
MiniMax literature reader
source_run_id
reading-sci-2026-11-01
dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
snapshot_id
ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:38069004
parent_hash
sha256:f1b9b2526ed904dfa1e51f254a3d6c4a24a00182bf29317d4efe4aed4cc01161
fork_of
null
gaps array · 11 items
[0]
asset:data:geo:GSE147527 licence not read
[1]
asset:data:geo:GSE147527 not downloaded
[2]
asset:data:geo:GSE149440 licence not read
[3]
asset:data:geo:GSE149440 not downloaded
[4]
asset:data:geo:GSE157148 licence not read
[5]
asset:data:geo:GSE157148 not downloaded
[6]
execution.not_run
[7]
method.reader_differs_from_extractor
[8]
review.human_critique
[9]
review.independent_reader
[10]
review.machine_critique
assays array · 2 items
[0] object · 11 fields
role
data_generation
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 4 items
[0]
osystems, Foster City, CA, USA) was used for RT-qPCR amplification of OR6X1 and OR4E2. Results: O
[1]
biomarkers' responses to levothyroxine. The RT-qPCR demonstrated a difference in OR6X1 and OR4E2
[2]
stems, Foster City, CA, USA) was used for RT-qPCR amplification of OR6X1 and OR4E2. Results: O
[3]
omarkers' responses to levothyroxine. The RT-qPCR demonstrated a difference in OR6X1 and OR4E2
order_basis
paper_text_order:926
id
assay:1
[1] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
cox_ph
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Cox regression was used to calculate the Hazard Ratio. The Kaplan–Meier method was used with the log-rank test for the preeclampsia onset analysis.
order_basis
consumes_earlier_output
id
assay:2
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:38069004", "kind": "science-record", "revision": 5, "content_hash": "sha256:1ed595482a59c3443ccfe658430ca6149836c36d9c3e3cf380927fa2ea1252f6", "created_at": "2026-11-01T19:03:00Z", "updated_at": "2026-11-01T22:53:15Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Exploring the Potential of Olfactory Receptor Circulating RNA Measurement for Preeclampsia Prediction and Its Linkage to Mild Gestational Hypothyroidism.", "doi": "10.3390/ijms242316681", "pmid": "38069004", "authors": ["Andréa Harumy de Lima Hirata", "Luiz Antônio de Jesus Rocha Camargo", "Valdelena Alessandra da Silva", "Robson José de Almeida", "Lucas Dos Santos Bacigalupo", "Maria Clara Albejante", "Flavia Salomão d'Avila Curi", "Patrícia Varela", "Leonardo Martins", "João Bosco Pesquero", "Humberto Delle", "Cleber P Camacho"], "journal": "International journal of molecular sciences", "year": 2023, "abstract": "Gestational hypothyroidism may lead to preeclampsia development. However, this pathophysiological is unknown. We expect to find a shared mechanism by comparing hypothyroidism and preeclampsia. From our transcriptome data, we recognized olfactory receptors as that fingerprint. The reduction of taste and smell in hypothyroid patients has been known for a long time. Therefore, we decided to look to the olfactory receptors and aimed to identify genes capable of predicting preeclampsia (PEC). Methods: An Ion Proton Sequencer (Thermo Fisher Scientific, Waltham, MA, USA) was used to construct the transcriptome databases. RStudio with packages Limma v.3.50.0, GEOquery v.2.62.2, and umap v.0.2.8.8 were used to analyze the differentially expressed genes in GSE149440 from the Gene Expression Omnibus (GEO). The 7500 Real-Time PCR System (Applied Biosystems, Foster City, CA, USA) was used for RT-qPCR amplification of OR6X1 and OR4E2. Results: Our transcriptomic datasets analysis revealed 25.08% and 26.75% downregulated olfactory receptor (ORs) in mild nontreated gestational hypothyroidism (GHT) and PEC, respectively. In the GSE149440 GEO dataset, we found OR5H1, OR5T3, OR51A7, OR51B6, OR10J5, OR6C6, and OR2AG2 as predictors of early-onset PEC. We also evaluate two chosen biomarkers' responses to levothyroxine. The RT-qPCR demonstrated a difference in OR6X1 and OR4E2 expression between GHT and healthy pregnancy (p < 0.05). Those genes presented a negative correlation with TSH (r: -0.51, p < 0.05; and r: -0.44, p < 0.05), a strong positive correlation with each other (r: 0.89; p < 0.01) and the levothyroxine-treated group had no difference from the healthy one. We conclude that ORs could be used as biomarkers at the beginning of gestation, and the downregulated ORs found in GHT may be improved with levothyroxine treatment.", "claims": [{"id": "claim-method", "statement": "Cox regression was used to calculate the Hazard Ratio. The Kaplan–Meier method was used with the log-rank test for the preeclampsia onset analysis.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38069004", "locator": "sections[18] \"4.8.2. Statistical Analysis\" paragraph 3", "quote": "Cox regression was used to calculate the Hazard Ratio. The Kaplan–Meier method was used with the log-rank test for the preeclampsia onset analysis."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Data available on request due to restrictions eg privacy or ethical. The data presented in this study are available on request from the corresponding author. The data are not publicly available due to the unfinished project involving these data.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38069004", "locator": "sections[25] \"notes\" paragraph 1", "quote": "Data available on request due to restrictions eg privacy or ethical. The data presented in this study are available on request from the corresponding author. The data are not publicly available due to the unfinished project involving these data."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Our transcriptomic datasets analysis revealed 25.08% and 26.75% downregulated olfactory receptor (ORs) in mild nontreated gestational hypothyroidism (GHT) and PEC, respectively.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:38069004", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Our transcriptomic datasets analysis revealed 25.08% and 26.75% downregulated olfactory receptor (ORs) in mild nontreated gestational hypothyroidism (GHT) and PEC, respectively."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Our transcriptomic datasets analysis revealed 25.08% and 26.75% downregulated olfactory receptor (ORs) in mild nontreated gestational hypothyroidism (GHT) and PEC, respectively.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:38069004"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE147527"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE147527"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:38069004", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3390/ijms242316681", "sha256": "sha256:b038f8ea422469d9e80101f8979fd5848c5529c2a328a44658aecbe3d68abeb5", "bytes": 32813, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3390/ijms242316681", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC10706743", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE147527", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147527", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE147527", "version": null, "note": "Data available on request due to restrictions eg privacy or ethical. The data presented in this study are available on request from the corresponding author. The data are not publicly available due to the unfinished project involving these data.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Data available on request due to restrictions eg privacy or ethical. The data presented in this study are available on request from the corresponding author. The data are not publicly available due to the unfinished project involving these data.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM4432626", "GSM4432627", "GSM4432628", "GSM4432629", "GSM4432630", "GSM4432631", "GSM4432632", "GSM4432633", "GSM4432634"], "sample_count": 9, "group_sizes": null, "group_sizes_basis": null, "platform": "17303", "taxon": "Homo sapiens", "title": "Circulating RNA transcriptome of pregnant women with TSH just above the trimester-specific reference and its correlation with the hypertensive phenotype", "resolution_checked_at": "2026-11-01T19:09:46Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE149440", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE149440", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE149440", "version": null, "note": "Data available on request due to restrictions eg privacy or ethical. The data presented in this study are available on request from the corresponding author. The data are not publicly available due to the unfinished project involving these data.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Data available on request due to restrictions eg privacy or ethical. The data presented in this study are available on request from the corresponding author. The data are not publicly available due to the unfinished project involving these data.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM4501318", "GSM4501319", "GSM4501320", "GSM4501321", "GSM4501322", "GSM4501323", "GSM4501324", "GSM4501325", "GSM4501326", "GSM4501327", "GSM4501328", "GSM4501329", "GSM4501330", "GSM4501331", "GSM4501332", "GSM4501333", "GSM4501334", "GSM4501335", "GSM4501336", "GSM4501337", "GSM4501338", "GSM4501339", "GSM4501340", "GSM4501341", "GSM4501342", "GSM4501343", "GSM4501344", "GSM4501345", "GSM4501346", "GSM4501347", "GSM4501348", "GSM4501349", "GSM4501361", "GSM4501362", "GSM4501363", "GSM4501364", "GSM4501365", "GSM4501366", "GSM4501367", "GSM4501368", "GSM4501369", "GSM4501370", "GSM4501371", "GSM4501372", "GSM4501373", "GSM4501374", "GSM4501375", "GSM4501376", "GSM4501377", "GSM4501378", "GSM4501379", "GSM4501380", "GSM4501381", "GSM4501382", "GSM4501383", "GSM4501384", "GSM4501385", "GSM4501386", "GSM4501387", 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