The inhalation of humidifier disinfectants (HDs) is linked to HD-associated lung injury (HDLI). Polyhexamethylene guanidine (PHMG) is significantly involved in HDLI, but the correlation between chloromethylisothiazolinone (CMIT) and HDLI remains ambiguous. Additionally, the differences in the molecular responses to PHMG and CMIT are poorly understood. In this study, RNA sequencing (RNA-seq) data showed that the expression levels of metallothionein-1 (MT1) isoforms, including MT1B, MT1E, MT1F, MT1G, MT1H, MT1M, and MT1X, were increased in human pulmonary alveolar epithelial cells (HPAEpiCs) that were treated with PHMG but not in those treated with CMIT. Moreover, upregulation of MT1B, MT1F, MT1G, and MT1H was observed only in PHMG-treated HPAEpiCs. The protein expression level of metal regulatory transcription factor 1 (MTF1), which binds to the promoters of MT1 isoforms, was increased in PHMG-treated HPAEpiCs but not in CMIT-treated HPAEpiCs. However, the expression of early growth response 1 (EGR1) and nuclear receptor superfamily 3, group C, member 1 (NR3C1), other transcriptional regulators involved in MT1 isomers, were increased regardless of treatment with PHMG or CMIT. These results suggest that MTF1 is an essential transcription factor for the induction of MT1B, MT1F, MT1G, and MT1H by PHMG but not by CMIT.

Polyhexamethylene guanidine (PHMG) is widely utilized in personal hygiene products due to its bactericidal, non-volatile, and hydrophilic properties. However, the long-term toxic effects and underlying mechanisms associated with respiratory exposure to the commonly used form, PHMG phosphate (PHMG-p), are still insufficiently understood. This study aims to elucidate the types of pulmonary lesions and the incidence of lung cancer associated with varying concentrations of PHMG-p and observation periods, along with the molecular mechanisms underlying this relationship. To assess these effects, CT scans and pathological analyses were conducted for up to 54 weeks following initial exposure to PHMG-p. Furthermore, to investigate the underlying causes of pulmonary toxicity, TGF-beta-activated kinase 1 was identified as a PHMG-p-binding protein, and its associated signaling pathways, including necroptosis, apoptosis, and MKK7, were explored. Somatic mutational signature, and gene ontology (GO) analyses were performed to investigate the genetic characteristics of PHMG-p-induced lung carcinogenesis. PHMG-p exposure led to somatic mutations in lung cancer-related genes, including TP53, SOS1, KMT2D, MDM2, ERBB2, SETD2, MET, and ARID1A, as well as in genes such as RAB31, WASHC1, and DDX11. The mutated genes were primarily associated with impaired DNA repair mechanisms. GO analysis highlighted the activation of pathways related to cell cycle checkpoints, necroptosis, MAPK, and idiopathic pulmonary fibrosis, while also revealing the suppression of signaling pathways associated with natural killer cells, GADD45, LXR/RXR activation, and IL-15 production. Gain-of-function experiments confirmed the oncogenic roles of PLAU and HMGA2, as well as the tumor-suppressive functions of TBX4 and GPX3. These findings suggest that PHMG-p activates necroptosis and MAPK signaling, increases the frequency of somatic mutations, and inhibits apoptosis, thus fostering an environment conducive to carcinogenesis. This underscores the importance of understanding the potential health risks associated with PHMG-p exposure and provides insights for future research and regulatory considerations regarding the safety of personal hygiene products.

Polyhexamethylene guanidine phosphate (PHMG-p), the main ingredient of humidifier disinfectants, circulates systemically through the lungs; however, its toxicological assessment has been primarily limited to pulmonary disease. Herein, we investigated the possible abnormalities in hematopoietic function 20 weeks after intratracheal instillation of PHMG-p in a rat model. Notable abnormalities were found out in the peripheral blood cell count and bone marrow (BM) biopsy, while RNA sequencing of BM tissue revealed markedly altered gene expression. Furthermore, signaling involved in hematopoietic dysfunction was predicted by analyzing candidate genes through Ingenuity Pathway Analysis (IPA) program. Respiratory PHMG-p exposure significantly decreased monocyte and platelet (PLT) counts and total protein, while significantly increasing hemoglobin and hematocrit levels in peripheral blood. Histopathological analysis of the BM revealed a reduced number of megakaryocytes, with no significant differences in spleen and liver weight to body weight. Moreover, PHMG-p exposure significantly activated estrogen receptor signaling and RHOA signaling, and inhibited RHOGDI signaling. In IPA analysis, candidate genes were found to be strongly related to ‘hematological system development and function’ and ‘hematological disease.’ Accordingly, our results suggest that PHMG-p could affect hematopoiesis, which participates in monocyte differentiation and PLT production, and may induce hematologic diseases via the respiratory tract.

Polyhexamethylene guanidine phosphate (PHMG-p), a major ingredient of humidifier disinfectants, is known to induce inflammation, interstitial pneumonitis, and fibrosis in the lungs. While its histopathologic toxicities have been studied in rodents, research on pulmonary function test (PFT) changes following PHMG-p exposure is limited. This study aimed to investigate the acute and chronic effects, as well as the dose and time response, of PHMG-p on the lungs in mice using PFT and histopathologic examinations. In the single instillation model, mice received PHMG-p and were sacrificed at 2, 4, and 8 weeks. In the five-time instillation model, PHMG-p was administered five times at one-week intervals, and mice were sacrificed 10 weeks after the first instillation. Results showed that PHMG-p exposure reduced lung volume, increased resistance, and decreased compliance, indicating a restrictive ventilation defect. Histopathologic examination showed increases in lung inflammation and fibrosis scores. Changes in several lung volume and compliance parameters, as well as histopathology, were dose-dependent. Lung resistance and compliance parameters had significant correlations with lung inflammation and fibrosis scores. PHMG-p exposure in mice resulted in a restrictive ventilation defect with altered lung resistance and compliance, along with histopathologic lung inflammation and fibrosis.

Background/Objectives: Preclinical chest computed tomography (CT) imaging in small animals is often limited by low resolution due to scan time and dose constraints, which hinders accurate detection of subtle lesions. Traditional super-resolution (SR) metrics, such as peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM), may not adequately reflect clinical interpretability. We aimed to evaluate whether deep learning-based SR models could enhance image quality and lesion detectability in rat chest CT, balancing quantitative metrics with radiologist assessment. Methods: We retrospectively analyzed 222 chest CT scans acquired from polyhexamethylene guanidine phosphate (PHMG-p) exposure studies in Sprague Dawley rats. Three SR models were implemented and compared: single-image SR (SinSR), segmentation-guided SinSR with lung cropping (SinSR3), and omni-super-resolution (OmniSR). Models were trained on rat CT data and evaluated using PSNR and SSIM. Two board-certified thoracic radiologists independently performed blinded evaluations of lesion margin clarity, nodule detectability, image noise, artifacts, and overall image quality. Results: SinSR1 achieved the highest PSNR (33.64 ± 1.30 dB), while SinSR3 showed the highest SSIM (0.72 ± 0.08). Despite lower PSNR (29.21 ± 1.46 dB), OmniSR received the highest radiologist ratings for lesion margin clarity, nodule detectability, and overall image quality (mean score 4.32 ± 0.41, κ = 0.74). Reader assessments diverged from PSNR and SSIM, highlighting the limited correlation between conventional metrics and clinical interpretability. Conclusions: Deep learning-based SR improved visualization of rat chest CT images, with OmniSR providing the most clinically interpretable results despite modest numerical scores. These findings underscore the need for reader-centered evaluation when applying SR techniques to preclinical imaging.

Yoon Hee Park, Hong Lee, Haewon Kim, Hayan Park, Su A Park, Jin Young Choi, Chaewon Park, Yoon Jeong Nam, Hyejin Lee, Yu-Seon Lee, Jaeyoung Kim, Byoungcheun Lee, Hye-Jin Kim, Ju-Han Lee & Sang Hoon Jeong. BMB Reports 2026;59:161-8. https://doi.org/10.5483/BMBRep.2025-0186