Evidence map›Paper›PMID 37868100›Full record

ArticleJournal of Taibah University Medical Sciences2024

SARS-CoV-2 genetic variation and bacterial communities of naso-oropharyngeal samples in middle-aged and elderly COVID-19 patients in West Java, Indonesia.

Muhammad M Adzdzakiy, Sutarno Sutarno, Isnaini Z Asyifa, Alvira R Sativa, Ahmad R A Fiqri, Azzania Fibriani, Ryan B Ristandi, Ratih A Ningrum, Syam B Iryanto, Anggia Prasetyoputri and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of Taibah University Medical Sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 77% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

12 authors at 4 institutions in 1 country.

Muhammad M AdzdzakiyGraduate School of Bioscience, Faculty of Mathematics and Natural Sciences, Universitas Sebelas Maret, Jl. Ir. Sutami 36A Surakarta, Central Java, Indonesia.
Sutarno SutarnoGraduate School of Bioscience, Faculty of Mathematics and Natural Sciences, Universitas Sebelas Maret, Jl. Ir. Sutami 36A Surakarta, Central Java, Indonesia.
Isnaini Z AsyifaMaster Program in Biomedical Science, Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No.6, Jakarta, Indonesia.
Alvira R SativaSchool of Life Science and Technology, Institut Teknologi Bandung, Jl. Ganesa 10, Bandung, West Java, Indonesia.
Ahmad R A FiqriMaster Program in Biomedical Science, Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No.6, Jakarta, Indonesia.
Azzania FibrianiSchool of Life Science and Technology, Institut Teknologi Bandung, Jl. Ganesa 10, Bandung, West Java, Indonesia.
Ryan B RistandiWest Java Health Laboratory, Jl. Sederhana No. 3-5, Pasteur, Sukajadi, Bandung, West Java, Indonesia.
Ratih A NingrumResearch Center for Genetic Engineering, National Research and Innovation Agency (BRIN), Jl. Raya Jakarta Bogor Km 46, Bogor, West Java, Indonesia.
Syam B IryantoResearch Center for Computation, National Research and Innovation Agency (BRIN), Jl. Raya Jakarta Bogor Km 46, Bogor, West Java, Indonesia.
Anggia PrasetyoputriResearch Center for Applied Microbiology, National Research and Innovation Agency (BRIN), Jl. Raya Jakarta Bogor Km 46, Bogor, West Java, Indonesia.
Anik B DharmayanthiResearch Center for Biosystematics and Evolution, National Research and Innovation Agency (BRIN), Jl. Raya Jakarta Bogor Km 46, Bogor, West Java, Indonesia.
Sugiyono SaputraResearch Center for Applied Microbiology, National Research and Innovation Agency (BRIN), Jl. Raya Jakarta Bogor Km 46, Bogor, West Java, Indonesia.
National Research and Innovation Agency · IDBandung Institute of Technology · IDSebelas Maret University · IDUniversity of Indonesia · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The number of COVID-19 cases in Indonesia reflects the disease severity and rapid dissemination. In response to the mounting threat, SARS-CoV-2 genomic surveillance and the investigation of naso-oropharyngeal bacterial communities in West Java were conducted, as dysbiosis of the upper respiratory tract microbiota might adversely affect the clinical condition of patients. Methods: We utilized the Oxford Nanopore sequencing platform to analyze genetic variation of 43 samples of SARS-CoV-2 and 11 selected samples for 16S rRNA gene sequencing, using samples collected from May to August 2021. Results: The prevalence of AY.23 (>82%) predominated among five virus lineages in the populations (AY.23, AY.24, AY.26, AY.42, B.1.1.7). The region in the SARS-CoV-2 genome found to have the highest number of mutations was the spike (S) protein (>20%). There was no association between SARS-CoV-2 lineages, mutation frequency, patient profile, and COVID-19 rapid spread-categorized cases. There was no association of bacterial relative abundance, alpha-beta diversity, and linear discriminant analysis effect size analysis with patient profile and rapid spread cases. MetagenomeSeq analysis showed eight differential abundance species in individual patient profiles, including Conclusions: The data demonstrated relevant AY.23 dominance (the Delta variant) in West Java during that period supporting the importance of surveillance program in monitoring disease progression. The inconsistent results of the bacterial communities suggest that a complex multifactor process may contribute to the progression of bacterial-induced disease in each patient.

Indexed as

16S rRNA sequencingBacterial communityCOVID-19 rapid spreadOxford Nanopore TechnologiesSARS-CoV-2 variants

Identifiers

PMID37868100
PMCPMC10589881
OpenAlexW4386645636

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.