Evidence map›Paper›PMID 40065113›Full record

ArticleScientific reports2025

Bacterial lysates in modifying sIgA levels in the upper respiratory tract in COVID-19 patients.

Mikhail Kostinov, Alexander Chuchalin, Oksana Svitich, Viliya Gaynitdinova, Kirill Mashilov, Nadezhda Kryukova, Valerij Osiptsov, Vitalij Tatevosov, Ekaterina Khromova, Irina Baranova and 8 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Review
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

18 authors.

Mikhail KostinovI. Mechnikov Research Institute of Vaccines and Sera, Moscow, Russian Federation.
Alexander ChuchalinPirogov Russian National Research Medical University, Moscow, Russian Federation.
Oksana SvitichI. Mechnikov Research Institute of Vaccines and Sera, Moscow, Russian Federation.
Viliya GaynitdinovaI.M. Sechenov First Moscow State Medical University, Moscow, Russian Federation.
Kirill MashilovI. Mechnikov Research Institute of Vaccines and Sera, Moscow, Russian Federation.
Nadezhda KryukovaPirogov Russian National Research Medical University, Moscow, Russian Federation. kryukovanadia@gmail.com.
Valerij OsiptsovMain Military Clinical Hospital of the Troops of the National Guard of the Russian Federation, Moscow, Russian Federation.
Vitalij TatevosovMain Military Clinical Hospital of the Troops of the National Guard of the Russian Federation, Moscow, Russian Federation.
Ekaterina KhromovaI. Mechnikov Research Institute of Vaccines and Sera, Moscow, Russian Federation.
Irina BaranovaPirogov Russian National Research Medical University, Moscow, Russian Federation.
Anna VlasenkoNovokuznetsk State Institute for Advanced Training of Physicians, Branch Campus of the Russian Medical Academy of Continuous Professional Education, Novokuznetsk, Russian Federation.
Ludmila ShogenovaPirogov Russian National Research Medical University, Moscow, Russian Federation.
Irina MekhantsevaKaraganda Medical University, Karaganda, Kazakhstan.
Izabella KhrapunovaI. Mechnikov Research Institute of Vaccines and Sera, Moscow, Russian Federation.
Andrey LinokI.M. Sechenov First Moscow State Medical University, Moscow, Russian Federation.
Anton KostinovI.M. Sechenov First Moscow State Medical University, Moscow, Russian Federation.
Valentina PolishchukI. Mechnikov Research Institute of Vaccines and Sera, Moscow, Russian Federation.
Arseniy PoddubikovI.M. Sechenov First Moscow State Medical University, Moscow, Russian Federation.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A great deal of evidence has accumulated suggesting an important role of mucosal immunity not only in preventing COVID-19 but also in the pathogenesis of this infection. The aim of the study was to evaluate the levels of secretory immunoglobulin A (sIgA) in different compartments of the upper respiratory tract in COVID-19 patients in relation to the severity of the disease and treatment with a bacteria-based immunomodulating agent (Immunovac VP4). The titers of sIgA were determined by ELISA in nasal epithelial swabs, pharyngeal swabs, and salivary gland secretions at baseline and on days 14 and 30 of treatment. The levels of nasal, pharyngeal and salivary sIgA were significantly lower in more severe patients (subgroup A) than in less severe patients (subgroup B), p < 0.01. In subgroup A, the patients who received Immunovac VP4 had higher pharyngeal sIgA levels in convalescent period than those who did not receive the therapy p < 0.05. In subgroup B patients, an increase in immunoglobulin levels was observed from baseline to day 14 of treatment whether they received the add-on therapy or not, p < 0.01. On day 30 of treatment, the sIgA levels in the standard treatment group, however, decreased, while the patients receiving the immunomodulating agent maintained high sIgA levels, p < 0.05. Oxygen saturation significantly increased by day 14 in both groups, p < 0.001. However, it was higher in the Immunovac VP4 group than in the standard treatment group, p < 0.01. Thus, addition of a bacterial lysate-based immunomodulating agent to the treatment regimen for moderate-to-severe COVID-19 induces the production of pharyngeal and salivary sIgA. SIgA production is inversely correlated to CRP levels and percentage of lung involvement on CT scan and is directly correlated to SpO

Indexed as

COVID-19Immunoglobulin A, SecretoryAdultAgedBacterial LysatesFemaleHumansImmunity, MucosalMaleMiddle AgedPharynxSalivaSARS-CoV-2Bacterial LysatesImmunoglobulin A, SecretoryBacterial lysatesCOVID-19Immune therapy in COVID-19Microbial-based immunomodulating agentMucosal immunitysIgA

Identifiers

PMID40065113
PMCPMC11893902

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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 OpenQuestion graph.