Evidence map›Paper›PMID 41990046›Full record

ArticlePloS one2026

The tip of the iceberg: Profiling cooling agents using computational approaches to inform tobacco regulatory science.

Saibal Chakraborty, P Dilip Venugopal, Maria Kaltcheva, Jueichuan Connie Kang, Reema Goel

Abstract read
In one paragraph

Article in PloS one, 2026. 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
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.

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

5 authors.

Saibal ChakrabortyDivision of Product Science, Office of Science, Center for Tobacco Products, US Food and Drug Administration, Silver Spring, Maryland, United States of America.
P Dilip VenugopalDivision of Nonclinical Science, Office of Science, Center for Tobacco Products, US Food and Drug Administration, Silver Spring, Maryland, United States of America.ORCID https://orcid.org/0000-0001-6339-5087
Maria KaltchevaDivision of Nonclinical Science, Office of Science, Center for Tobacco Products, US Food and Drug Administration, Silver Spring, Maryland, United States of America.
Jueichuan Connie KangDivision of Nonclinical Science, Office of Science, Center for Tobacco Products, US Food and Drug Administration, Silver Spring, Maryland, United States of America.
Reema GoelDivision of Nonclinical Science, Office of Science, Center for Tobacco Products, US Food and Drug Administration, Silver Spring, Maryland, United States of America.ORCID https://orcid.org/0000-0003-4244-4315

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cooling agents (chemicals added to impart a cooling sensation) in tobacco products are receiving increased attention due to their use as menthol substitutes. However, detailed information on their chemical structures, physico-chemical properties, cooling activity, and human and ecotoxicity potential has not been compiled. Our goal was to profile cooling agents that could be used as menthol substitutes in tobacco products, along with descriptions of their cooling properties and estimated toxicological effects. First, we compiled a library of 228 cooling agents, including 180 unique two-dimensional (2-D) chemical structures based on a review of multiple public data sources (literature, invention patents, and public databases). The library includes chemicals with a "cool" and/or "mint" flavor profile as designated by the Flavor and Extract Manufacturers Association (FEMA), chemicals reported to activate the cation channel transient receptor potential melastatin 8 (TRPM8) receptor, and/or chemicals with reported subjective perceived sensory cooling. Second, we classified the cooling agents into three main chemical skeletons using similar structural motifs and estimated their physico-chemical properties related to cooling attributes using Schrödinger Canvas software, including log octanol-water partition coefficient (LogKow), vapor pressure, and electrotopological state index. Third, to investigate the cooling agents' similarity to each other and to menthol, we applied an unsupervised machine learning algorithm (Knowledge Discovery by Accuracy Maximization [KODAMA]) and hierarchical clustering techniques and identified six clusters. Fourth, we compiled available perceived cooling intensity data. Fifth, we used models based on experimental and predicted data (EPA's web-based Hazard Comparison Module [HCM]) to estimate human health toxicity and ecotoxicity. Some cooling agents are associated with genotoxicity, developmental toxicity, skin irritation, and eye irritation, and pose toxicity to fish, algae, and invertebrates. Using this surveillance approach will help inform future tobacco regulatory decisions and policies by profiling chemicals used as cooling agents in tobacco products and those that pose potential health hazard concerns.

Indexed as

Flavoring AgentsTobacco ProductsAnimalsHumansMentholFlavoring AgentsMenthol

Identifiers

PMID41990046
PMCPMC13086334

What OpenQuestion holds

Textmetadata
LicenceCC0
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 OpenQuestion graph.