Evidence map›Paper›PMID 40969868›Full record

ArticleACS pharmacology & translational science2025

Design and Synthesis of Novel Pirfenidone Analogues for Targeting Fibroblast Differentiation via Transforming Growth Factor-β/Smad Pathway Using

Laxman D Nandawadekar, Vaishnavi Kambhampati, Sai Kiran Kunuru, Madhusudhana Kuncha, Sai Balaji Andugulapati, D Srinivasa Reddy

Abstract read
In one paragraph

Article in ACS pharmacology & translational science, 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

6 authors.

Laxman D NandawadekarDepartment of Organic Synthesis & Process Chemistry, CSIR-Indian Institute of Chemical Technology, Hyderabad 500007, India.
Vaishnavi KambhampatiApplied Biology Division, CSIR-Indian Institute of Chemical Technology, Hyderabad 500007, India.ORCID https://orcid.org/0009-0004-6457-6639
Sai Kiran KunuruDepartment of Organic Synthesis & Process Chemistry, CSIR-Indian Institute of Chemical Technology, Hyderabad 500007, India.
Madhusudhana KunchaApplied Biology Division, CSIR-Indian Institute of Chemical Technology, Hyderabad 500007, India.
Sai Balaji AndugulapatiAcademy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India.ORCID https://orcid.org/0000-0002-7591-737X
D Srinivasa ReddyDepartment of Organic Synthesis & Process Chemistry, CSIR-Indian Institute of Chemical Technology, Hyderabad 500007, India.ORCID https://orcid.org/0000-0003-3270-315X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary fibrosis is a progressive interstitial lung disease characterized by excessive extracellular matrix (ECM) deposition, resulting in impaired respiratory function. Due to the limited efficacy of current antifibrotic therapies, there is an urgent need to develop novel agents or optimize existing drugs. In this study, a series of pirfenidone (PFD) derivatives were rationally designed and synthesized with targeted modifications at the third position of the core scaffold to enhance antifibrotic efficacy. A total of 30 derivatives (100 μM) were screened using a TGF-β-induced differentiation model, leading to the identification of hit compounds with superior activity compared to PFD (500 μM). Selected candidates were further validated both in vitro (LL29 and DHLF cells) and in the bleomycin (BLMN)-induced pulmonary fibrosis mouse model. In vitro, compounds

Indexed as

fibrosisidiopathic pulmonary fibrosisinflammationpirfenidonestructure–activity relationships

Identifiers

PMID40969868
PMCPMC12441841

What Socratic holds

Textmetadata
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.