Lung adenocarcinoma (LUAD) is a global malignancy with significant chemoresistance impacting patient prognosis. The pro-tumorigenic role of hyaluronan-mediated motility receptor (HMMR) in LUAD is recognized. This study was designed to investigate the underlying mechanisms by which HMMR affects chemoresistance in LUAD. Bioinformatics presented the expression patterns of HMMR in LUAD patients and the association between HMMR levels and patient survival, followed by qRT-PCR to verify HMMR expression in LUAD tissues and cells. Further, bioinformatics was leveraged to identify the signaling pathways enriched by HMMR and its relevance to glycolytic genes, we also analyzed changes in the glycolytic activity of LUAD cells by manipulating HMMR expression. Stemness was evaluated through cell aggregation assays and Western blot, and drug responsiveness was gauged using CCK-8 assays, alongside flow cytometry for apoptosis analysis. HMMR was highly expressed in LUAD tissues and cells, and this overexpression correlated with poorer prognoses in patients. GSEA showed that HMMR was notably enriched in the glycolysis and gluconeogenesis pathways, correlating positively with the expression of key glycolytic genes. Cellular experiments confirmed that HMMR knockdown notably suppressed aerobic glycolysis in LUAD cells. Moreover, overexpression of HMMR could further enhance the stemness and cisplatin resistance of LUAD cells by stimulating glycolysis. In brief, this study has validated that high levels of HMMR in LUAD are predictive of poor patient prognosis, and that overexpression of HMMR can catalyze aerobic glycolysis, thus promoting stemness and chemoresistance in LUAD cells. Thus, HMMR could be a target for improving chemosensitivity in LUAD.

Lung adenocarcinoma (LUAD) is a global malignancy with significant chemoresistance impacting patient prognosis. The pro-tumorigenic role of hyaluronan-mediated motility receptor (HMMR) in LUAD is recognized. This study was designed to investigate the underlying mechanisms by which HMMR affects chemoresistance in LUAD. Bioinformatics presented the expression patterns of HMMR in LUAD patients and the association between HMMR levels and patient survival, followed by qRT-PCR to verify HMMR expression in LUAD tissues and cells. Further, bioinformatics was leveraged to identify the signaling pathways enriched by HMMR and its relevance to glycolytic genes, we also analyzed changes in the glycolytic activity of LUAD cells by manipulating HMMR expression. Stemness was evaluated through cell aggregation assays and Western blot, and drug responsiveness was gauged using CCK-8 assays, alongside flow cytometry for apoptosis analysis. HMMR was highly expressed in LUAD tissues and cells, and this overexpression correlated with poorer prognoses in patients. GSEA showed that HMMR was notably enriched in the glycolysis and gluconeogenesis pathways, correlating positively with the expression of key glycolytic genes. Cellular experiments confirmed that HMMR knockdown notably suppressed aerobic glycolysis in LUAD cells. Moreover, overexpression of HMMR could further enhance the stemness and cisplatin resistance of LUAD cells by stimulating glycolysis. In brief, this study has validated that high levels of HMMR in LUAD are predictive of poor patient prognosis, and that overexpression of HMMR can catalyze aerobic glycolysis, thus promoting stemness and chemoresistance in LUAD cells. Thus, HMMR could be a target for improving chemosensitivity in LUAD.

Lung adenocarcinoma (LUAD) is a global malignancy with significant chemoresistance impacting patient prognosis. The pro-tumorigenic role of hyaluronan-mediated motility receptor (HMMR) in LUAD is recognized. This study was designed to investigate the underlying mechanisms by which HMMR affects chemoresistance in LUAD. Bioinformatics presented the expression patterns of HMMR in LUAD patients and the association between HMMR levels and patient survival, followed by qRT-PCR to verify HMMR expression in LUAD tissues and cells. Further, bioinformatics was leveraged to identify the signaling pathways enriched by HMMR and its relevance to glycolytic genes, we also analyzed changes in the glycolytic activity of LUAD cells by manipulating HMMR expression. Stemness was evaluated through cell aggregation assays and Western blot, and drug responsiveness was gauged using CCK-8 assays, alongside flow cytometry for apoptosis analysis. HMMR was highly expressed in LUAD tissues and cells, and this overexpression correlated with poorer prognoses in patients. GSEA showed that HMMR was notably enriched in the glycolysis and gluconeogenesis pathways, correlating positively with the expression of key glycolytic genes. Cellular experiments confirmed that HMMR knockdown notably suppressed aerobic glycolysis in LUAD cells. Moreover, overexpression of HMMR could further enhance the stemness and cisplatin resistance of LUAD cells by stimulating glycolysis. In brief, this study has validated that high levels of HMMR in LUAD are predictive of poor patient prognosis, and that overexpression of HMMR can catalyze aerobic glycolysis, thus promoting stemness and chemoresistance in LUAD cells. Thus, HMMR could be a target for improving chemosensitivity in LUAD.

Lung adenocarcinoma (LUAD) is a global malignancy with significant chemoresistance impacting patient prognosis. The pro-tumorigenic role of hyaluronan-mediated motility receptor (HMMR) in LUAD is recognized. This study was designed to investigate the underlying mechanisms by which HMMR affects chemoresistance in LUAD. Bioinformatics presented the expression patterns of HMMR in LUAD patients and the association between HMMR levels and patient survival, followed by qRT-PCR to verify HMMR expression in LUAD tissues and cells. Further, bioinformatics was leveraged to identify the signaling pathways enriched by HMMR and its relevance to glycolytic genes, we also analyzed changes in the glycolytic activity of LUAD cells by manipulating HMMR expression. Stemness was evaluated through cell aggregation assays and Western blot, and drug responsiveness was gauged using CCK-8 assays, alongside flow cytometry for apoptosis analysis. HMMR was highly expressed in LUAD tissues and cells, and this overexpression correlated with poorer prognoses in patients. GSEA showed that HMMR was notably enriched in the glycolysis and gluconeogenesis pathways, correlating positively with the expression of key glycolytic genes. Cellular experiments confirmed that HMMR knockdown notably suppressed aerobic glycolysis in LUAD cells. Moreover, overexpression of HMMR could further enhance the stemness and cisplatin resistance of LUAD cells by stimulating glycolysis. In brief, this study has validated that high levels of HMMR in LUAD are predictive of poor patient prognosis, and that overexpression of HMMR can catalyze aerobic glycolysis, thus promoting stemness and chemoresistance in LUAD cells. Thus, HMMR could be a target for improving chemosensitivity in LUAD.

Lung adenocarcinoma (LUAD) is a global malignancy with significant chemoresistance impacting patient prognosis. The pro-tumorigenic role of hyaluronan-mediated motility receptor (HMMR) in LUAD is recognized. This study was designed to investigate the underlying mechanisms by which HMMR affects chemoresistance in LUAD. Bioinformatics presented the expression patterns of HMMR in LUAD patients and the association between HMMR levels and patient survival, followed by qRT-PCR to verify HMMR expression in LUAD tissues and cells. Further, bioinformatics was leveraged to identify the signaling pathways enriched by HMMR and its relevance to glycolytic genes, we also analyzed changes in the glycolytic activity of LUAD cells by manipulating HMMR expression. Stemness was evaluated through cell aggregation assays and Western blot, and drug responsiveness was gauged using CCK-8 assays, alongside flow cytometry for apoptosis analysis. HMMR was highly expressed in LUAD tissues and cells, and this overexpression correlated with poorer prognoses in patients. GSEA showed that HMMR was notably enriched in the glycolysis and gluconeogenesis pathways, correlating positively with the expression of key glycolytic genes. Cellular experiments confirmed that HMMR knockdown notably suppressed aerobic glycolysis in LUAD cells. Moreover, overexpression of HMMR could further enhance the stemness and cisplatin resistance of LUAD cells by stimulating glycolysis. In brief, this study has validated that high levels of HMMR in LUAD are predictive of poor patient prognosis, and that overexpression of HMMR can catalyze aerobic glycolysis, thus promoting stemness and chemoresistance in LUAD cells. Thus, HMMR could be a target for improving chemosensitivity in LUAD.

Recently, diffusion models have emerged as a promising paradigm for molecular design and optimization. However, most diffusion-based molecular generative models focus on modeling 2D graphs or 3D geometries, with limited research on molecular sequence diffusion models. The International Union of Pure and Applied Chemistry (IUPAC) names are more akin to chemical natural language than the Simplified Molecular Input Line Entry System (SMILES) for organic compounds. In this work, we apply an IUPAC-guided conditional diffusion model to facilitate molecular editing from chemical natural language to chemical language (SMILES) and explore whether the pre-trained generative performance of diffusion models can be transferred to chemical natural language. We propose DiffIUPAC, a controllable molecular editing diffusion model that converts IUPAC names to SMILES strings. Evaluation results demonstrate that our model outperforms existing methods and successfully captures the semantic rules of both chemical languages. Chemical space and scaffold analysis show that the model can generate similar compounds with diverse scaffolds within the specified constraints. Additionally, to illustrate the model's applicability in drug design, we conducted case studies in functional group editing, analogue design and linker design.

Recently,diffusion models have emerged as a promising paradigm for molecular design and optimization.However,most diffusion-based molecular generative models focus on modeling 2D graphs or 3D geom-etries,with limited research on molecular sequence diffusion models.The International Union of Pure and Applied Chemistry(IUPAC)names are more akin to chemical natural language than the simplified molecular input line entry system(SMILES)for organic compounds.In this work,we apply an IUPAC-guided conditional diffusion model to facilitate molecular editing from chemical natural language to chemical language(SMILES)and explore whether the pre-trained generative performance of diffusion models can be transferred to chemical natural language.We propose DiffIUPAC,a controllable molecular editing diffusion model that converts IUPAC names to SMILES strings.Evaluation results demonstrate that our model out-performs existing methods and successfully captures the semantic rules of both chemical languages.Chemical space and scaffold analysis show that the model can generate similar compounds with diverse scaffolds within the specified constraints.Additionally,to illustrate the model's applicability in drug design,we conducted case studies in functional group editing,analogue design and linker design.

BACKGROUND:Gingival thickness is an important indicator to determine gingival phenotype.The correct evaluation of gingival phenotype is helpful for the smooth going of periodontal surgery,implant implantation and orthodontic treatment.The search for a comfortable,accurate and convenient method of measuring gingival thickness has always been a research hotspot in this field. OBJECTIVE:To analyze the gingival thickness in different dental positions and to study the consistency of cone-beam computed tomography(CBCT)image and digital intraoral scanners and cone-beam computed tomography(DIS-CBCT)superimposition image for measuring gingival thickness and determining whether the gingiva is thick or thin. METHODS:Twenty volunteers(10 males and 10 females)with complete maxillary dentition were recruited.The thickness of the gingiva 2 mm below the buccal gingival margin of 160 teeth was measured by CBCT image and DIS-CBCT digital superimposition image.Gingival thickness was used to determine whether the gingiva was thick or thin.Paired t-test was used to analyze the differences in gingival thickness measured by the two methods.Pearson correlation analysis was used to evaluate the correlation between the gingival thickness results of the two methods.The intraclass correlation coefficient(ICC)and Bland-AItman chart were used to analyze the repeatability and consistency in measuring gingival thickness using the two methods.Kappa value was used to analyze the consistency in determining whether the gingiva was thick or thin using the two methods. RESULTS AND CONCLUSION:The gingival thickness measured by CBCT image and DIS-CBCT digital superimposition image was(1.47±0.39)and(1.42±0.36)mm,respectively(t=5.673,P＜0.05).Pearson correlation analysis showed that the gingival thickness measured by the two methods was positively correlated(r=0.968,P＜0.001).In the CBCT group,the values of intraobserver and interobserver ICC were 0.980-0.982 and 0.984,respectively;in the DIS-CBCT group,the values of intraobserver and interobserver ICC were 0.941-0.984 and 0.964,respectively(P＜0.001).The intergroup ICC value of gingival thickness measured by the two methods was 0.967(P＜0.001).Bland-AItman analysis showed that 4.37%(7/160)of the points measured by both methods for gingival thickness was outside the 95%limits of agreement.There were 71 cases of thick-gingiva and 89 cases of thin-gingiva measured by CBCT imaging,and 59 cases of thick-gingiva and 101 cases of thin-gingiva measured by DIS-CBCT digital superimposition image.The Kappa value of the two groups was 0.845(P＜0.001).These findings indicate that there is a significant difference in the thickness measurement of the gingiva 2 mm below the gingival margin between the CBCT group and the DIS-CBCT group,but the correlation is very strong.The repeatability and consistency of gingival thickness measurement are both high,and there is a good consistency between the two methods when used to determine whether the gingiva is thick or thin.

Objective The aim of this study was to explore the effectiveness of self-made oral humidity detection device to assist in evaluating the degree of parotid gland damage in radiotherapy for nasopharyngeal carcinoma,so as to guide doctors to change the radiotherapy plan in time,reduce the radiation dose to parotid gland,and reduce the incidence of xerostomia after radiotherapy.Methods A retrospective analysis was conducted on the relationship between oral humidity and parotid gland dose of radiotherapy in 60 patients with nasopharyngeal carcinoma using oral detection devices in the Department of Oncology of Southwest Medical University Affiliated Hospital from January 1,2022 to December 31,2022.According to the method of changing the radiotherapy plan,patients were divided into experimental group(n=30)and control group(n=30).The patients in the experimental group used a self-made oral humidity detection device to detect oral humidity,when 30 patients with oral relative humidity below 65%underwent CT simulation positioning and changed the radiotherapy plan to reduce the dose of parotid gland;The control group patients collected oral humidity but did not interfere in the radiotherapy plan,and only underwent CT positioning during the mid-term radiotherapy.The average oral humidity,parotid gland,and target area dose parameters of patients were analyzed after radiotherapy.The follow-up questionnaire was conducted to evaluate the life quality of patients in terms of dry mouth,decreased taste,difficulty opening mouth,and dental caries in two groups.Results The average oral humidity(t=2.938,P<0.05),the Dmean of average dose of bilateral parotid glands(tleft=-2.076,tright=-2.094,P<0.05),the D50 for dose of 50%volume of bilateral parotid glands(tleft=-2.123,tright=-2.230,P<0.05),and the volume percentage V30 of bilateral parotid gland dose(tleft=-2.505,tright=-2.491,P<0.05)in patients were significantly re-duced in the experimental group compared to the control group,while there was no statistically significant differences in target area do-simetric parameters(P>0.05).The dry mouth and taste loss in the experimental group were lower than those of the control group(P<0.05),and the difficulty in opening the mouth and caries scores were lower than those of the control group,but the difference was not statistically significant(P>0.05).Conclusion The oral humidity detection device can detect the oral humidity of radiotherapy pa-tients in time,objectively evaluate the impact of radiation on patient's parotid gland,guide doctors to change the radiotherapy treatment plan in a timely manner,minimize the degree of parotid gland damage,and improve their quality of life in nasopharyngeal carcinoma radiotherapy patients.At the same time,the device is easy to operate,time-consuming,and non-invasive,which improves the effec-tiveness and safety of radiotherapy technology and is worth promoting this device.

Objective To explore the preventive and therapeutic effects of Caryopteris incana decoction in a rat model of primary dysmenorrhea with cold coagulation and blood stasis syndrome.Methods Sixty healthy specific pathogen-free SD female rats were randomly divided into six groups of ten rats each:normal group,model group,ibuprofen group,C.incana high-dose group,C.incana medium-dose group,and C.incana low-dose group.All groups except the normal group were treated with cold stimulation combined with estradiol benzoate and oxytocin to establish a rat model of primary dysmenorrhea with cold coagulation and blood stasis syndrome.On the fifth day of modeling,the rats were intragastrically administered the study drugs for 10 days.Their symptoms were observed and recorded.The writhing response and hemorheological indices were measured.The serum levels of TXB2,6-keto-prostaglandin F1α(6-Keto-PGF1α),estradiol(E2),and progesterone(PROG)were measured.Additionally,the levels of prostaglandin F2α(PGF2α),prostaglandin E2(PGE2),nitric oxide(NO),and calcium(Ca2+)in the uterine tissues were measured.The organ indices of the uterus and ovary were calculated,and histopathological changes were observed.Results Compared with the normal group,the rats in the model group showed obvious symptoms of cold coagulation and blood stasis syndrome and writhing reaction.The morphology of uterus and ovary showed obvious hyperplasia,inflammation,edema and other lesions.The plasma viscosity,packed cell volume and whole blood viscosity were significantly increased(P＜0.01).The serum levels of thromboxane B2 and E2 and the E2/PROG ratio were significantly increased(P＜0.01),the levels of 6-Keto-PGF1α and PROG were significantly decreased(P＜0.01).The uterine index and ovarian index were significantly increased(P＜0.01).The levels of PGF2α and Ca2+and the PGF2α/PGE2 ratio in uterine tissue were significantly increased(P＜0.01),while the levels of PGE2 and NO were significantly decreased(P＜0.01).Compared with the model group,Caryopteris incana significantly improved the symptoms of model rats,improved the morphological lesions of the uterus and ovary,prolonged the latency time of the writhing reaction,and reduced the number of writhing episodes(P＜0.01);significantly reduced the plasma viscosity,packed cell volume,and whole blood viscosity(P＜0.01);significantly reduced the serum levels of TXB2 and E2 and the E2/PROG ratio,increased the serum levels of 6-Keto-PGF1αand PROG,and reduced the uterine and ovarian indices(P＜0.01,P＜0.05);significantly reduced the levels of PGF2αand Ca2+and the PGF2α/PGE2 ratio in uterine tissue(P＜0.01,P＜0.05);and significantly increased the levels of PGE2 and NO in the uterine tissue(P＜0.01).Conclusions Caryopteris incana decoction can effectively improve the clinical symptoms of primary dysmenorrhea in rats with cold coagulation and blood stasis syndrome,and it has a good control effect.Its mechanism may be correlated with the levels of TXB2,6-Keto-PGF1α,E2,and PROG in serum and PGF2α,PGE2,NO,and Ca2+in uterine tissue.