Evidence map›Paper›PMID 40098116›Full record

ArticleBMC medical genomics2025

Unravelling the transcriptomic characteristics of bronchoalveolar lavage in post-covid pulmonary fibrosis.

Mohammad Shadab Ali, Vijay Hadda, Sonia Verma, Anita Chopra, Saurabh Mittal, Karan Madan, Pawan Tiwari, Tejas Menon Suri, Anant Mohan

Abstract read
In one paragraph

Article in BMC medical genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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

9 authors.

Mohammad Shadab AliDepartment of Pulmonary, Critical Care, & Sleep Medicine, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India.
Vijay HaddaDepartment of Pulmonary, Critical Care, & Sleep Medicine, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India. vijayhadda@yahoo.com.
Sonia VermaDivision of Neuroscience and Ageing Biology, CSIR-Central Drug Research Institute, Lucknow, UP, 226031, India.
Anita ChopraLab Oncology, Dr. BRAIRCH All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India.
Saurabh MittalDepartment of Pulmonary, Critical Care, & Sleep Medicine, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India.
Karan MadanDepartment of Pulmonary, Critical Care, & Sleep Medicine, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India.
Pawan TiwariDepartment of Pulmonary, Critical Care, & Sleep Medicine, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India.
Tejas Menon SuriDepartment of Pulmonary, Critical Care, & Sleep Medicine, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India.
Anant MohanDepartment of Pulmonary, Critical Care, & Sleep Medicine, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPost-Covid Pulmonary Fibrosis (PCPF) has emerged as a significant global issue associated with a poor quality of life and significant morbidity. Currently, our understanding of the molecular pathways of PCPF is limited. Hence, in this study, we performed whole transcriptome sequencing of the RNA isolated from the bronchoalveolar lavage (BAL) samples of PCPF and compared it with idiopathic pulmonary fibrosis (IPF) and non-ILD (Interstitial Lung Disease) control to understand the gene expression profile and associated pathways.

methodsBAL samples from PCPF (n = 3), IPF (n = 3), and non-ILD Control (n = 3) (individuals with apparent healthy lung without interstitial lung disease) groups were obtained and RNA were isolated for whole transcriptomic sequencing. Differentially Expressed Genes (DEGs) were determined followed by functional enrichment analysis and qPCR validation.

resultsA panel of differentially expressed genes were identified in bronchoalveolar lavage fluid cells (BALF) of PCPF as compare to control and IPF. Our analysis revealed dysregulated pathways associated with cell cycle regulation, immune responses, and neuroinflammatory processes. Real-time validation further supported these findings. The PPI network and module analysis shed light on potential biomarkers and underscore the complex interplay of molecular mechanisms in PCPF. The comparison of PCPF and IPF identified a significant downregulation of pathways that were more prominent in IPF.

conclusionThis investigation provides crucial insights into the molecular mechanism of PCPF and also outlines avenues for prospective research and the development of therapeutic approaches.

Indexed as

Bronchoalveolar Lavage FluidCOVID-19Pulmonary FibrosisTranscriptomeAgedBronchoalveolar LavageFemaleGene Expression ProfilingHumansIdiopathic Pulmonary FibrosisMaleMiddle AgedSARS-CoV-2BALCIBERSORTXGSEAIPFPCPFRNA-Seq

Identifiers

PMID40098116
PMCPMC11917041

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.