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Record W4407085325 · doi:10.1038/s43856-025-00745-6

Host factor PLAC8 is required for pancreas infection by SARS-CoV-2

2025· article· en· W4407085325 on OpenAlexfundno aff
Lesly Ibargüen-González, Sandra Heller, Darío López-García, Hanna Dietenberger, Thomas F.E. Barth, Patricia Gallego, Israel Fernández‐Cadenas, Sayoa Alzate-Piñol, Catalina Crespı́, Julieth Mena-Guerrero, Eugenia Cisneros‐Barroso, Alejandro P. Ugalde, Gabriel Bretones, Charlotte Steenblock, Alexander Kleger, Marta L. DeDiego, Carles Barceló

Bibliographic record

VenueCommunications Medicine · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicKruppel-like factors research
Canadian institutionsnot available
FundersCentro Nacional de BiotecnologíaAgencia Estatal de InvestigaciónInstituto de Salud Carlos IIIFundació la Marató de TV3Fundación Bancaria Caixa d'Estalvis i Pensions de BarcelonaUniversität UlmMinisterio de Ciencia e InnovaciónTechnische Universität DresdenUniversitat Oberta de CatalunyaUniversidad de OviedoDeutsche ForschungsgemeinschaftEuropean Regional Development FundEuropean CommissionGovern de les Illes BalearsUniversity of Victoria
KeywordsHost (biology)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Coronavirus disease 2019 (COVID-19)Virology2019-20 coronavirus outbreakMedicineBiologyInternal medicineInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Although COVID-19 initially caused great concern about respiratory symptoms, mounting evidence shows that also the pancreas is productively infected by SARS-CoV-2. However, the severity of pancreatic SARS-CoV-2 infection and its pathophysiology is still under debate. Here, we investigate the consequences of SARS-CoV-2 pancreatic infection and the role of the host factor Placenta-associated protein (PLAC8). We analyze plasma levels of pancreatic enzymes and inflammatory markers in a retrospective cohort study of 120 COVID-19 patients distributed in 3 severity-stratified groups. We study the expression of SARS-CoV-2 and PLAC8 in the pancreas of deceased COVID-19 patients as well as in non-infected donors. We perform pseudovirus infection experiments in PLAC8 knock-out PDAC and human beta cell-derived cell lines and validate results with SARS-CoV-2 virus. We find that analysis of circulating pancreatic enzymes aid the stratification of patients according to COVID-19 severity and predicts outcomes. Interestingly, we find an association between PLAC8 expression and SARS-CoV-2 infection in postmortem analysis of COVID-19 patients both in the pancreas and in other bonafide SARS-CoV-2 target tissues. Functional experiments demonstrate the requirement of PLAC8 in SARS-CoV-2 pancreatic productive infection by pseudovirus and full SARS-CoV-2 infectious virus inoculum from Wuhan-1 and BA.1 strains. Finally, we observe an overlap between PLAC8 and SARS-CoV-2 immunoreactivities in the pancreas of deceased patients. Our data indicate the human pancreas as a SARS-CoV-2 target with plausible signs of injury and demonstrate that the host factor PLAC8 is required for SARS-CoV-2 pancreatic infection, thus defining new target opportunities for COVID-19-associated pancreatic pathogenesis. SARS-CoV-2 virus can be found in the pancreas following infection. We investigated whether the pancreas is damaged by the infection and whether there are changes of the pancreatic enzymes that the pancreas produces and circulates around the rest of the body. A particular protein called the placenta-associated protein 8 (PLAC8) expression was found in people who died following SARS-CoV-2 infection. We show this protein is required for SARS-CoV-2 pancreatic infection and viral replication. PLAC8 could be further investigated as a target for drugs to treat COVID-19 that could reduce the impact on the pancreas. Ibargüen-González, Heller et al. analyze plasma levels of pancreatic enzymes and inflammatory markers in a retrospective cohort study of 120 COVID-19 patients. Host factor PLAC8 is found to be required for SARS-CoV-2 pancreatic infection.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.411
Threshold uncertainty score0.487

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.066
GPT teacher head0.408
Teacher spread0.341 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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