Evidence map›Paper›PMID 37239092›Full record

ArticleBiomedicines2023

Blood pH Analysis in Combination with Molecular Medical Tools in Relation to COVID-19 Symptoms.

Hans-Christian Siebert, Thomas Eckert, Anirban Bhunia, Nele Klatte, Marzieh Mohri, Simone Siebert, Anna Kozarova, John W Hudson, Ruiyan Zhang, Ning Zhang and 12 more

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 30% of its field
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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

22 authors at 16 institutions in 9 countries.

Hans-Christian SiebertRI-B-NT-Research Institute of Bioinformatics and Nanotechnology, Schauenburgerstr. 116, 24118 Kiel, Germany.ORCID 0000-0001-6282-1777
Thomas EckertDepartment of Chemistry and Biology, University of Applied Sciences Fresenius, Limburger Str. 2, 65510 Idstein, Germany.
Anirban BhuniaDepartment of Biophysics, Bose Institute, P-1/12 CIT Scheme VII (M), Kolkata 700054, India.ORCID 0000-0002-8752-2842
Nele KlatteDepartment of Chemistry and Biology, University of Applied Sciences Fresenius, Limburger Str. 2, 65510 Idstein, Germany.ORCID 0000-0001-5256-4463
Marzieh MohriRI-B-NT-Research Institute of Bioinformatics and Nanotechnology, Schauenburgerstr. 116, 24118 Kiel, Germany.
Simone SiebertRI-B-NT-Research Institute of Bioinformatics and Nanotechnology, Schauenburgerstr. 116, 24118 Kiel, Germany.
Anna KozarovaDepartment of Biomedical Sciences, University of Windsor, Windsor, ON N9B 3P4, Canada.
John W HudsonDepartment of Biomedical Sciences, University of Windsor, Windsor, ON N9B 3P4, Canada.
Ruiyan ZhangInstitute of BioPharmaceutical Research, Liaocheng University, Liaocheng 252059, China.ORCID 0000-0003-3163-9539
Ning ZhangInstitute of BioPharmaceutical Research, Liaocheng University, Liaocheng 252059, China.ORCID 0000-0003-2102-8611
Lan LiKlinik für Neurochirurgie, Alfried Krupp Krankenhaus, Rüttenscheid, Alfried-Krupp-Straße 21, 45131 Essen, Germany.
Konstantinos GousiasKlinik für Neurochirurgie, Klinikum Lünen, St.-Marien-Hospital, Akad. Lehrkrankenhaus der Westfälische Wilhelms-Universität Münster, 44534 Lünen, Germany.
Dimitrios KanakisInstitute of Pathology, University of Nicosia Medical School, 2408 Egkomi, Cyprus.
Mingdi YanDepartment of Chemistry, University of Massachusetts Lowell, 1 University Avenue, Lowell, MA 01854, USA.ORCID 0000-0003-1121-4007
Jesús Jiménez-BarberoCIC bioGUNE, Bizkaia Technology Park, Building 800, 48160 Derio, Spain.ORCID 0000-0001-5421-8513
Tibor KožárCenter for Interdisciplinary Biosciences, Technology and Innovation Park, P. J. Šafárik University, Jesenná 5, 04001 Košice, Slovakia.ORCID 0000-0002-8167-1791
Nikolay E NifantievLaboratory of Glycoconjugate Chemistry, N. D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, Leninsky Prospect 47, 119991 Moscow, Russia.
Christian VollmerDepartment of Anesthesiology, University Hospital Düsseldorf, Heinrich-Heine University Duesseldorf, Moorenstr. 5, 40225 Düsseldorf, Germany.
Timo BrandenburgerDepartment of Anesthesiology, University Hospital Düsseldorf, Heinrich-Heine University Duesseldorf, Moorenstr. 5, 40225 Düsseldorf, Germany.
Detlef Kindgen-MillesDepartment of Anesthesiology, University Hospital Düsseldorf, Heinrich-Heine University Duesseldorf, Moorenstr. 5, 40225 Düsseldorf, Germany.
Thomas HaakDiabetes Klinik Bad Mergentheim, Theodor-Klotzbücher-Str. 12, 97980 Bad Mergentheim, Germany.
Athanasios K PetridisMedical School, Heinrich-Heine-Universität Düsseldorf, Universitätsstr. 1, 40225 Düsseldorf, Germany.ORCID 0000-0002-3321-5281
Clinical Research Center Kiel · DEDüsseldorf University Hospital · DELiaocheng University · CNUniversity of Windsor · CAAlfried Krupp Hospital · DEBose Institute · INCIC bioGUNE · ESGerman Diabetes Center Mergentheim · DEHeinrich Heine University Düsseldorf · DEHochschule Fresenius · DEJustus-Liebig-Universität Gießen · DEN.D. Zelinsky Institute of Organic Chemistry · RUUniversity of Massachusetts Lowell · USUniversity of Münster · DEUniversity of Nicosia · CYUniversity of Pavol Jozef Šafárik · SK

Funding

Diabetes-Akademie Bad Mergentheim e. V.. This publication also results from the project implementation: Open Scientific Community for Modern Interdisciplinary Research in Medicine (OPENMED), ITMS2014+: 313011V455 supported by the Operational Programme Int ERDF
6 · The paper itself

Abstract

The global outbreak of SARS-CoV-2/COVID-19 provided the stage to accumulate an enormous biomedical data set and an opportunity as well as a challenge to test new concepts and strategies to combat the pandemic. New research and molecular medical protocols may be deployed in different scientific fields, e.g., glycobiology, nanopharmacology, or nanomedicine. We correlated clinical biomedical data derived from patients in intensive care units with structural biology and biophysical data from NMR and/or CAMM (computer-aided molecular modeling). Consequently, new diagnostic and therapeutic approaches against SARS-CoV-2 were evaluated. Specifically, we tested the suitability of incretin mimetics with one or two pH-sensitive amino acid residues as potential drugs to prevent or cure long-COVID symptoms. Blood pH values in correlation with temperature alterations in patient bodies were of clinical importance. The effects of biophysical parameters such as temperature and pH value variation in relation to physical-chemical membrane properties (e.g., glycosylation state, affinity of certain amino acid sequences to sialic acids as well as other carbohydrate residues and lipid structures) provided helpful hints in identifying a potential Achilles heel against long COVID. In silico CAMM methods and in vitro NMR experiments (including

Indexed as

blood pHcoronavirus fusion peptidesincretin mimeticsmolecular modelingNMRSARS-CoV-2

Identifiers

PMID37239092
PMCPMC10216059
OpenAlexW4378515444

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.