Objective To compare the consistency of voice parameters collected by commonly used smart-phone brands in China and professional recording equipment,and to study whether smartphones can be used for voice research.Methods A total of 67 normal subjects were selected for voice recording using six different smart-phone brands(via the"Active Health"screening APP from the National Key Research and Development Program)and professional recording equipment.Acoustic voice parameters such as fundamental frequency parameters,fre-quency variation parameters,amplitude variation parameters,formant parameters,and energy parameters were ex-tracted from the vowels/a/,/i/,and/u/.A one-way ANOVA test and Tukey's HSD post-hoc comparisons were conducted on the independent variables.Results There were no significant differences between smartphones and professional recording equipment in terms of fundamental frequency parameters such as median F0,mean F0,max F0 and min F0;frequency parameters such as jitter local,jitter local absolute,jitter rap,jitter ppq5,and jitter ddp;amplitude parameters such as shimmer local,shimmer local dB,shimmer apq3,shimmer apq5,shimmer apq11,and shimmer dda;and formant parameters such as F1,F2,F3,and F4.However,significant differences were found in energy parameters such as mean energy(F=31.171,P＜0.001),max energy(F=34.193,P＜0.001),and min energy(F=5.453,P＜0.001)between smartphones and professional recording equipment.Conclusion The smartphones using the"Active Health"screening app from the National Key Research and Development Program can replace professional recording equipment for voice research.However,caution should be exercised when selec-ting energy-related acoustic parameters.

Objective To compare the consistency of voice parameters collected by commonly used smart-phone brands in China and professional recording equipment,and to study whether smartphones can be used for voice research.Methods A total of 67 normal subjects were selected for voice recording using six different smart-phone brands(via the"Active Health"screening APP from the National Key Research and Development Program)and professional recording equipment.Acoustic voice parameters such as fundamental frequency parameters,fre-quency variation parameters,amplitude variation parameters,formant parameters,and energy parameters were ex-tracted from the vowels/a/,/i/,and/u/.A one-way ANOVA test and Tukey's HSD post-hoc comparisons were conducted on the independent variables.Results There were no significant differences between smartphones and professional recording equipment in terms of fundamental frequency parameters such as median F0,mean F0,max F0 and min F0;frequency parameters such as jitter local,jitter local absolute,jitter rap,jitter ppq5,and jitter ddp;amplitude parameters such as shimmer local,shimmer local dB,shimmer apq3,shimmer apq5,shimmer apq11,and shimmer dda;and formant parameters such as F1,F2,F3,and F4.However,significant differences were found in energy parameters such as mean energy(F=31.171,P＜0.001),max energy(F=34.193,P＜0.001),and min energy(F=5.453,P＜0.001)between smartphones and professional recording equipment.Conclusion The smartphones using the"Active Health"screening app from the National Key Research and Development Program can replace professional recording equipment for voice research.However,caution should be exercised when selec-ting energy-related acoustic parameters.

As the relationship between exposure to chemical carcinogens and human health risks becomes increasingly clear, identifying effective biomarkers to reveal early exposure and prevent the occurrence and development of tumors has become particularly critical. Ribosomal DNA (rDNA), a cluster of genes encoding ribosomal RNA, has emerged as a focal point in chemical carcinogen exposure research in recent years, due to its high copy number within cells and sensitivity to environmental stimuli. The dynamic changes in rDNA copy numbers, especially the significant alterations observed following exposure to environmental carcinogens, have rendered it a promising potential biomarker. This paper aims to systematically review the theoretical underpinnings and research progress of rDNA copy numbers as a biomarker for exposure to chemical carcinogens, and further discuss the challenges and prospects in future research and applications.

BACKGROUND:Marine traditional Chinese medicine offers a potentially effective and less adverse treatment for osteoporosis.OBJECTIVE:To explore the pharmacological regulations and procedures of traditional Chinese medicine in treating osteoporosis through data mining and network pharmacology techniques.METHODS:Data mining and network pharmacology methods were used to study the medication pattern and mechanism of marine Chinese medicine patented prescriptions approved by China National Intellectual Property Administration for the treatment of osteoporosis,and special attention was paid to the core Chinese medicine constituents of these prescriptions.The core constituents of the compound drug group composed of oyster-Dipsacus asper-epimedium were comprehensively identified and analyzed by using ultra-high-performance liquid chromatography tandem mass spectrometry.RESULTS AND CONCLUSION:(1)We collected 381 authorized compound patents for the treatment of osteoporosis from the database inception to April 1,2024.Among these,48 patent groups utilized marine traditional Chinese medicine.These prescriptions contained 183 Chinese herbal medicines,of which 13 marine traditional Chinese medicines were used 574 times in total,and the number of flavors used in a single patented formula ranged from 2 to 41.(2)Oyster was the most frequently used marine ingredient,while Dipsacus asper,epimedium,Rehmannia glutinosa,Eucommia ulmoides Oliv.were the most frequent non-marine components.Association rule analysis identified oyster,Dipsacus asper,and epimedium as the core drug group.Network pharmacology analysis revealed that the core targets of this group for the treatment of osteoporosis included ALB,AKT1,TP53,PPARG,and SRC.Sitosterol,liquiritigenin,japonine,luteolin,and kaempferol were identified as the core components within the marine traditional Chinese medicine prescriptions.(3)The GO and KEGFG enrichment analyses suggested a potential association between the mechanism of the core drug group and the rap1/mapk signaling pathway in the treatment of osteoporosis.(4)The molecular docking verified the beneficial interactions between core components and core targets.(5)The ultra-high-performance liquid chromatography tandem mass spectrometry analysis of the compound medicine confirmed the presence of luteolin,sitosterol,kaempferol,and other components,aligning with the drug components identified by network pharmacology.Quantitative analysis indicated that flavonoids,terpenes,and alkaloids constituted a significant proportion of the compound medicine's components.

BACKGROUND:Marine traditional Chinese medicine offers a potentially effective and less adverse treatment for osteoporosis.OBJECTIVE:To explore the pharmacological regulations and procedures of traditional Chinese medicine in treating osteoporosis through data mining and network pharmacology techniques.METHODS:Data mining and network pharmacology methods were used to study the medication pattern and mechanism of marine Chinese medicine patented prescriptions approved by China National Intellectual Property Administration for the treatment of osteoporosis,and special attention was paid to the core Chinese medicine constituents of these prescriptions.The core constituents of the compound drug group composed of oyster-Dipsacus asper-epimedium were comprehensively identified and analyzed by using ultra-high-performance liquid chromatography tandem mass spectrometry.RESULTS AND CONCLUSION:(1)We collected 381 authorized compound patents for the treatment of osteoporosis from the database inception to April 1,2024.Among these,48 patent groups utilized marine traditional Chinese medicine.These prescriptions contained 183 Chinese herbal medicines,of which 13 marine traditional Chinese medicines were used 574 times in total,and the number of flavors used in a single patented formula ranged from 2 to 41.(2)Oyster was the most frequently used marine ingredient,while Dipsacus asper,epimedium,Rehmannia glutinosa,Eucommia ulmoides Oliv.were the most frequent non-marine components.Association rule analysis identified oyster,Dipsacus asper,and epimedium as the core drug group.Network pharmacology analysis revealed that the core targets of this group for the treatment of osteoporosis included ALB,AKT1,TP53,PPARG,and SRC.Sitosterol,liquiritigenin,japonine,luteolin,and kaempferol were identified as the core components within the marine traditional Chinese medicine prescriptions.(3)The GO and KEGFG enrichment analyses suggested a potential association between the mechanism of the core drug group and the rap1/mapk signaling pathway in the treatment of osteoporosis.(4)The molecular docking verified the beneficial interactions between core components and core targets.(5)The ultra-high-performance liquid chromatography tandem mass spectrometry analysis of the compound medicine confirmed the presence of luteolin,sitosterol,kaempferol,and other components,aligning with the drug components identified by network pharmacology.Quantitative analysis indicated that flavonoids,terpenes,and alkaloids constituted a significant proportion of the compound medicine's components.

The incidence of osteoarthritis(OA)has been gradually increasing among China's middle-aged and elderly population, creating a significant burden on healthcare systems.As the co-morbidity patterns of metabolic diseases and OA are increasingly being explored, OA is being redefined as a systemic disease driven by metabolic inflammation.This article focuses on the interactions between metabolic disorders and chronic inflammation in OA, summarizing the regulation of OA through cross-organ interaction mechanisms.The aim is to deepen the understanding of the complex pathophysiological network of OA and to propose potential new therapeutic directions.

As the relationship between exposure to chemical carcinogens and human health risks becomes increasingly clear, identifying effective biomarkers to reveal early exposure and prevent the occurrence and development of tumors has become particularly critical. Ribosomal DNA (rDNA), a cluster of genes encoding ribosomal RNA, has emerged as a focal point in chemical carcinogen exposure research in recent years, due to its high copy number within cells and sensitivity to environmental stimuli. The dynamic changes in rDNA copy numbers, especially the significant alterations observed following exposure to environmental carcinogens, have rendered it a promising potential biomarker. This paper aims to systematically review the theoretical underpinnings and research progress of rDNA copy numbers as a biomarker for exposure to chemical carcinogens, and further discuss the challenges and prospects in future research and applications.

The incidence of osteoarthritis(OA)has been gradually increasing among China's middle-aged and elderly population, creating a significant burden on healthcare systems.As the co-morbidity patterns of metabolic diseases and OA are increasingly being explored, OA is being redefined as a systemic disease driven by metabolic inflammation.This article focuses on the interactions between metabolic disorders and chronic inflammation in OA, summarizing the regulation of OA through cross-organ interaction mechanisms.The aim is to deepen the understanding of the complex pathophysiological network of OA and to propose potential new therapeutic directions.

Objectives:To investigate the current willingness of depressive outpatients and their doctors in China to engage in shared decision-making (SDM), and to analyze the factors influencing this willingness.Methods:A questionnaire survey was conducted among doctors and patients with depression in 12 tertiary psychiatric hospitals and general hospitals by scanning two-dimensional code and filling in the questionnaire on the mobile terminal. The questionnaire covered patient demographics, emotional state scores, initial diagnosis and treatment, treatment expectations and concerns, symptom improvement needs, medication safety requirements, and diagnosis details (completed by the attending physician). Doctors provided basic information, current depression diagnosis and treatment status, and concerns regarding medications. Logistic regression analysis (univariate and multivariate) was used to identify factors influencing patients′ and doctors′ willingness to engage in SDM.Results:A total of 622 valid patient questionnaires and 45 valid physician questionnaires were collected. Both patients and doctors had a strong willingness to make shared decisions (80.39% (500/622) vs. 60.00% (27/45)). Multivariate binary logistic regression analysis showed that residential location (town versus rural areas: OR (95% CI)=1.895 (1.087-3.305)), acceptable monthly medical expenses (≥1 000-<2 000 CNY vs.<300 CNY: OR (95% CI)=0.194 (0.088-0.427);≥2 000 CNY vs.<300 CNY: OR (95% CI)=0.267 (0.094-0.754)), acceptance of online treatment and consultation (accept versus not accept: OR (95% CI)=3.196 (2.024-5.046)), and knowing about psychotherapy (yes versus no: OR (95% CI)=1.711 (1.003-2.921)) were the factors influencing the willingness of shared decision-making in patients (all P<0.05). For the doctors, the time spent on initial consultation was the factor influencing the willingness to engage in SDM ( OR (95% CI)=1.090 (1.004-1.184), P=0.040). Conclusions:Both depression patients and doctors in tertiary outpatient clinics in China show a strong willingness to engage in SDM, providing a solid foundation for clinical application. However, it is necessary to pay attention to the influence of residential location, acceptable monthly medical expenses, acceptance of online treatment and consultation, and knowledge of psychotherapy should be considered for patients, while the time spent on initial consultations should be considered for doctors.

The cognitive impairment of diabetes mellitus type 2(T2DM)is closely related to neurovascular coupling(NVC)changes,but the exact mechanism remains unclear.Functional MRI(fMRI)technology were able to jointly analyze NVC changes of T2DM,providing new ideas for revealing the mechanism of cognitive dysfunction caused by T2DM.The progresses of fMRI for exploring NVC changes in T2DM were reviewed in this article.