Molar-incisor hypomineralization (MIH) is a developmental defect of enamel that is characterized primarily by abnormal enamel mineralization affecting the first permanent molars and permanent incisors. Due to insufficient mineralization, teeth affected by MIH are prone to post-eruptive breakdown and caries, potentially leading to sequelae such as tooth sensitivity and occlusal problems. The diagnosis of MIH is primarily based on relevant perinatal and infantile medical history, the characteristic distribution of affected teeth, and the morphological features of the enamel defects. Based on the extent and severity of the enamel defect, MIH is classified as mild or severe. Diagnosis and treatment strategies emphasize early screening, diagnosis, and intervention, prioritizing prevention, providing symptomatic care, and implementing regular recall assessments. Mild MIH predominantly manifests as demineralized enamel opacities or discoloration, typically without significant enamel breakdown. Treatment focuses on caries prevention and aesthetic restoration, employing techniques such as remineralization, micro-abrasion, resin infiltration, bleaching, fluoride application, and fissure sealants. Severe MIH typically presents with extensive enamel opacities accompanied by substantial enamel breakdown and may be complicated by caries and tooth sensitivity. Management primarily involves restoring the structural defects or, for teeth that cannot be preserved, extraction followed by orthodontic treatment. Comprehensive management often requires a multimodal approach integrating various therapeutic modalities to restore both the function and aesthetics of the affected teeth and overall dentition. This article provides a review of advancements in diagnosis and the treatment strategies for MIH, offering a reference for clinical practice.

ObjectiveTo investigate the mechanisms by which Mahuang Lianqiao Chixiaodoutang （MLC） improves obesity-type polycystic ovary syndrome （PCOS） through the phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway. MethodsThirty-six female Sprague-Dawley （SD） rats were randomly divided into a blank control group （Con） and an obesity-type PCOS model preparation group. The model was induced by gavage with letrozole （1 mg·kg^-1） combined with a high-fat diet （HFD）. After model establishment， the obesity-type PCOS model preparation group was further divided into the model group （Mod， normal saline）， metformin group （Met， 0.3 g·kg^-1）， low-dose MLC group （MLC-L， 4.3 g·kg^-1）， medium-dose MLC group （MLC-M， 8.6 g·kg^-1）， and high-dose MLC group （MLC-H， 17.2 g·kg^-1）. Active components of MLC and targets of obesity-type PCOS were screened from databases， a protein-protein interaction （PPI） network was constructed， and gene ontology（GO）and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis was performed. The gut microbiota structure was analyzed based on 16S rRNA sequencing and correlated with network pharmacology pathways. Body weight and estrous cycle were dynamically monitored. Ovarian morphology was observed by hematoxylin-eosin （HE） staining. Cell apoptosis was detected by terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling （TUNEL）. Enzyme-linked immunosorbent assay （ELISA） was used to detect levels of follicle-stimulating hormone （FSH）， luteinizing hormone （LH）， anti-Müllerian hormone （AMH）， testosterone （T）， and estradiol （E₂）. Western blot was used to detect the protein expression levels of phosphorylated PI3K/PI3K （p-PI3K/PI3K）， phosphorylated Akt/Akt （p-Akt/Akt）， B-cell lymphoma-2 （Bcl-2）， and Bcl-2-associated X protein （Bax）. ResultsNetwork pharmacology screening identified 124 active components of MLC and 408 overlapping targets between the herbal formula and the disease. Core targets such as Akt1 and Bcl-2 were revealed. As indicated by 16S rRNA sequencing， the abundances of Lachnospiraceae， Lachnoclostridium， and Dorea were increased in the MLC groups （P<0.05）， while the abundance of Veillonella was decreased （P<0.05）. KEGG correlation analysis integrating network pharmacology and gut microbiota data showed significant enrichment of the PI3K/Akt signaling pathway. Animal experiments showed that， compared with the Mod group， body weight decreased to normal levels in the Met， MLC-M， and MLC-H groups. The estrous cycle became regular. The number of corpora lutea increased and cystic follicles decreased. Serum levels of T， FSH， and LH/FSH were reduced （P<0.05， P<0.01）， while the E₂ level was increased （P<0.01）. Ovarian cell apoptosis was reduced （P<0.01）， and the protein expression levels of p-PI3K/PI3K， p-Akt/Akt， and Bcl-2 in ovarian tissue were significantly increased， whereas Bax protein expression was significantly decreased （P<0.05， P<0.01）. ConclusionMLC can regulate gut microbiota structure， effectively improve ovarian pathology in rats with obesity-type PCOS， and inhibit ovarian granulosa cell apoptosis. The mechanism may be associated with upregulation of the PI3K/Akt signaling pathway.

ObjectiveHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） and GC-triple quadrupole MS（GC-QqQ-MS） in combination with non-targeted and targeted metabolomics were employed to systematically analyze the chemical composition differences of Xihuangwan prepared with natural musk and artificial musk， and establish an identification system for them. MethodsThe volatile components of 9 batches of Xihuangwan samples from 8 manufacturers were analyzed by HS-SPME-GC-MS non-targeted metabolomics， and identified by comparing their MS data with the National Institute of Standards and Technology（NIST） spectral library. Orthogonal partial least squares-discriminant analysis（OPLS-DA） was used to identify differential volatile components of Xihuangwan prepared with natural musk and artificial musk. Additionally， GC-QqQ-MS targeted metabolomics was applied to quantify the levels of α-pinene， β-elemene， muscone， dehydroepiandrosterone， bornyl acetate， and octyl acetate in 27 batches of samples from 9 manufacturers. Cluster analysis， principal component analysis（PCA）， and partial least squares-discriminant analysis（PLS-DA） were conducted to further explore the differences in volatile components between Xihuangwan samples prepared with natural musk and artificial musk. ResultsNon-targeted metabolomics identified 291 volatile compounds in Xihuangwan， including alkanes， esters， alkanes， alcohols， ketones， naphthalenes and others. OPLS-DA analysis revealed distinct separation between Xihuangwan samples containing artificial musk（A1， C1， D1， E1， F1， G1， I1） and those containing natural musk（H1， H3）. A total of 30 differential metabolites were identified. The relative contents of these 30 differential metabolites were visualized using a radar chart， revealing significant differences in the levels of octanol， borneol acetate and muscone. Cluster analysis and PCA results from targeted metabolomics indicated that Xihuangwan could be classified into two distinct groups：one composed of natural musk（H1， H3） and the other of artificial musk， sample H2. PLS-DA identified muscone， octyl acetate， and dehydroepiandrosterone as key differential volatile components. Although no significant difference was observed in the content of octyl acetate between the two groups， statistically significant differences were found for muscone and dehydroepiandrosterone（P<0.05）. ConclusionMuscone and dehydroepiandrosterone can be used for the differentiation of Xihuangwan samples containing natural musk from those containing artificial musk. This study systematically and comprehensively analyzed the differences in the types and contents of major volatile components in Xihuangwan prepared with natural musk and artificial musk， providing a scientific basis for quality evaluation and control of Xihuangwan.

To interpret the evidence-to-decision （EtD） framework and to illustrate its application in traditional Chinese medicine （TCM） guideline development using the example of the Pharmacovigilance Guideline of Chinese Patent Medicine， thereby providing methodological references for TCM guideline standardization. Based on the core three stages of the EtD framework （formulating the question， making an assessment of the evidence， and drawing conclusions）， critical decision points and evaluation evidence within the evidence-translation process were systematically addressed， aligning with the purpose， scope， and key questions of the guideline. Qualitative research methods， such as the nominal group technique， were employed to formulate recommendations. The analysis was conducted based on the EtD framework. During question formulation， the specific characteristics and practical needs of pharmacovigilance for Chinese patent medicines were clarified， focusing on the core objective of safety assurance throughout the product lifecycle. In the evidence assessment， multi-source evidence was integrated， including policy documents， literature research， and expert consensus， completing the evidence evaluation. Finally， in recommendation-forming， dispersed research evidence and expert experience were synthesized into consensus， culminating in the guideline's completion through solicitation of opinions and peer review. The EtD framework provides a structured tool for evidence-to-decision translation in TCM guideline development， effectively enhancing the transparency and scientific rigor of the process. Therefore， it is recommended that TCM guideline development adopt the EtD framework to improve the evidence-to-decision process with TCM characteristics.

The Guidelines for Construction of Traditional Chinese Medicine Pharmacovigilance Systems in Medical Institutions （T/CACM 1563.2-2024） were the first special guideline in China to systematically assist medical institutions in establishing a pharmacovigilance system tailored to the characteristics of traditional Chinese medicine （TCM）. This guideline was jointly developed with 23 authoritative medical and research institutions in China， under the lead of the Institute of Basic Clinical Medicine， China Academy of Chinese Medical Sciences. The purpose of this guideline was to standardize pharmacovigilance work throughout the entire lifecycle of TCM （including research and development， marketing， and application） and to establish a four-dimensional framework of "organizational structure， institutional system， information platform， and vigilance activities". Key components included the establishment of a TCM Safety Committee， the construction of nine core systems， the development of an information platform that complies with International Council for Harmonization of Technical Requirements for Pharmaceuticals for Human Use （ICH） E2B standards， alongside the risk monitoring， identification， assessment， and control during clinical trials and post-marketing phases. Therefore， this guideline filled a significant gap in the systemic standards for TCM safety management within medical institutions. Strictly adhering to domestic and international laws and regulations， the guideline compilation involved multiple rounds of expert interviews， systematic evidence integration， and broad consensus. This guideline was specified to be applicable to medical institutions at all levels， primarily addressing core issues， including the difficulty in adverse reaction identification， low reporting rates， and incomplete risk management chains due to the complex composition and diverse application of TCM. The compilation process was scientific and rigorous， ensuring alignment with current national laws and regulations， and was registered internationally. In the future， implementation will be promoted through standardized training， tiered dissemination， as well as a post-effect evaluation and dynamic revision mechanism starting two years after publication. All these aimed to enhance medical institutions' proactive capabilities in preventing and controlling TCM safety risks， ensure patient medication safety， and promote the high-quality development of TCM.

To standardize the clinical application of oral Chinese patent medicines （CPMs）， and address the safety issues arising from their dosage form characteristics， irrational clinical use， and the lack of targeted pharmacovigilance systems， the China Association of Chinese Medicine organized the formulation and release of Pharmacovigilance Guidelines for Clinical Application of Oral Chinese Patent Medicines， aiming to inform the safe clinical use of oral CPMs and related pharmacovigilance work. According to the principles of GB/T1.1—2020 and the Drug Administration Law of the People's Republic of China （2019 revision）， the Institute of Basic Research in Clinical Medicine， China Academy of Chinese Medical Sciences， led a drafting group comprising 18 institutions. After multiple rounds of expert interviews， literature retrieval， evidence screening， and extensive solicitation of opinions， the Guidelines were registered internationally. Systematic standardization focused on safety monitoring， risk identification， assessment， control， and other aspects. The Guidelines clarified the characteristics of oral CPMs in terms of safety monitoring， known risks， and potential risks， compared to non-oral CPMs. Then， risk control measures were proposed， including medication in special populations and irrational medication. As a special guideline for pharmacovigilance in the clinical application of oral CPMs， the Guidelines systematically construct a technical system in line with the characteristics of traditional Chinese medicine （TCM）， which is essential for improving the clinical safety management of oral CPMs and provides an important reference for medical institutions， pharmaceutical manufacturers， and regulatory authorities.

To develop the Pharmacovigilance Guidelines for Clinical Application of Chinese Patent Medicines for Mucosal Administration in response to common problems， including insufficient safety information in package inserts， amplified medication risks in special populations， and non-standard clinical practices， thus establishing a risk management system tailored to the characteristics of Chinese patent medicines for mucosal administration. An approach combining qualitative and quantitative methods was adopted. In accordance with the Drug Administration Law of the People's Republic of China （2019 revision） and the GB/T 1.1—2020 standard， a systematic search was performed in the Chinese Pharmacopoeia （2020 edition）， the Catalog of Medicines Covered by Medical Insurance （2022 edition）， Chinese databases ［China Network of Knowledge Infrastructure （CNKI）， Wanfang Data （Wanfang）， and VIP journal resource integration service platform （VIP）］， and international databases （Cochrane Library， PubMed， and EMbase）. Guideline outlines were developed through questionnaire surveys， expert interviews， and the nominal group technique. The content of each item was formulated with full consideration of traditional Chinese medicine （TCM） incompatibility， as well as the conceptual connotations and extensions of pharmacovigilance. The results included 54 Chinese patent medicines for mucosal administration from the Chinese Pharmacopoeia （2020 edition） and 58 from the Catalog of Medicines Covered by Medical Insurance （2022 edition）. Safety-related items in the corresponding package inserts were collected， and 27 relevant publications were retrieved. Thirty experts from 24 institutions were mobilized for the drafting， and opinions from 61 external experts were solicited. A pharmacovigilance framework was established， covering the full chain of "monitoring， identification， assessment， and control". Based on seven anatomical sites， including nasal， ocular， and oral mucosa， a stratified monitoring system was constructed. The guideline proposed key recommendations on improving package insert sections such as "Adverse Reactions"， "Contraindications"， and "Precautions"， clinical procedure standardization in healthcare institutions， risk control， and dynamic pharmacovigilance. The Guideline provides evidence-based support tailored to the risk profile of Chinese patent medicines for mucosal administration， filling the current gap in international pharmacovigilance standards in this field， while offering technical support for safety management across the full life cycle of medicines for mucosal administration.

Background The global prevalence of obesity is on the rise and is closely associated with various chronic non-communicable diseases such as cardiovascular diseases and diabetes. There is a relative lack of long-term dynamic studies on compound obesity among occupational populations. Objective To explore the changing trends of compound obesity among different occupational groups aged 18–59 years in nine provinces (autonomous regions, municipalities) of China from 1993 to 2018, and to provide a scientific basis for formulating targeted weight management strategies for occupational populations. Methods A total of 34519 employed adults aged 18–59 years from nine waves of the China Health and Nutrition Survey in1993, 1997, 2000, 2004, 2006, 2009, 2011, 2015, and 2018 were included. Obesity types were determined according to the Chinese Adult Weight Management Guidelines. The Joinpoint regression model was used to calculate the average annual percentage change (AAPC) and annual percentage change (APC) of compound obesity rates. Results From 1993 to 2018, the age-standardized compound obesity rate among the occupational population aged 18–59 years showed an upward trend (AAPC=6.24%, 95%CI: 5.09%, 7.41%, P<0.05). The AAPCs (95%CI) for age-standardized compound obesity rates among agricultural workers, blue-collar workers, other occupational groups, service workers, and white-collar workers were 9.55% (7.51%, 11.64%), 6.18% (4.70%, 7.69%), 5.53% (2.27%, 8.90%), 4.07% (2.40%, 5.77%), and 3.89% (2.16%, 5.65%), respectively, with statistically significant differences (P<0.05). Among males, the AAPCs (95%CI) for age-standardized compound obesity rates among agricultural workers, blue-collar workers, other occupational groups, service workers, and white-collar workers were 11.52% (7.71%, 15.47%), 7.28% (6.18%, 8.40%), 5.92% (2.28%, 9.69%), 5.56% (2.11%, 9.12%), and 4.22% (2.33%, 6.15%), respectively, with statistically significant differences (P<0.05). Among females, the AAPCs (95%CI) for age-standardized compound obesity rates among agricultural workers, blue-collar workers, and white-collar workers were 7.45% (6.22%, 8.69%), 3.72% (0.84%, 6.67%), and 2.41% (0.17%, 4.70%), respectively, with statistically significant differences (P<0.05). A turning point was observed in the compound obesity rate among female white-collar workers in 2006, with an APC (95%CI) of 9.69% (5.24%, 14.33%) from 2006 to 2008, showing a statistically significant difference (P<0.05), while no significant trend was found from 1993 to 2006 (P>0.05). No significant trends were observed in the age-standardized compound obesity rates among females in other occupational groups and service workers (P>0.05). Conclusion The compound obesity rate among China's occupational population is increasing rapidly, with the growth rate among agricultural workers being particularly prominent. In 2018, male white-collar workers and female agricultural workers exhibit relatively high compound obesity rates, warranting focused attention. Although the overall growth rate among service workers is slower, the expanding workforce in this sector indicates that obesity remains a serious issue. Targeted occupational health and weight management interventions are needed in the future.

Background Health literacy is closely related to mental health, and improving health literacy has been shown to promote mental well-being. However, whether occupational stress among workers in mining and manufacturing is associated with their occupational health literacy remains inconclusive. Objective To study the levels of occupational health literacy and occupational stress among workers in three industrial sectors (metal ores mining, metal smelting, and manufacture of non-metallic mineral products) in Gansu Province, and to analyze the correlation between them. Methods Between May and December 2024, a stratified cluster random sampling method was employed to survey workers from 73 large, medium, and small and micro sized enterprises across the aforementioned industries in Gansu Province. Participants’ occupational health literacy and occupational stress levels were assessed. The LASSO regression model was applied to identifykey factors influencing occupational stress, and subsequently a multilevel random intercept mixed-effects logistic model was used to study factors influencing occupational stress and to explore the relationship between occupational health literacy and occupational stress. Results A total of 3611 workers across the three industries were surveyed, among whom 1031 (28.55%) experienced occupational stress. Workers with adequate occupational health literacy—whether assessed in terms of overall literacy or specific dimensions—demonstrated a significantly lower prevalence of occupational stress compared to those without adequate literacy (P<0.05). Through the LASSO regression analysis, it was found that the factors closely related to occupational stress were dimension one (occupational health legal knowledge), dimension two (basic knowledge of occupational health protection), and dimension four (healthy working methods and behaviors) of occupational health literacy, gender, average monthly income, and night shifts. The results from the three-level random intercept mixed-effects logistic regression model indicated that dimensions one (OR=0.69, 95%CI: 0.58, 0.82), two (OR=0.71, 95%CI: 0.58, 0.87), and four (OR=0.81, 95%CI: 0.67, 0.98) of occupational health literacy were negatively correlated with the risk of occupational stress. Workers with an average monthly income of 3001–≤5000, 5001–≤7000, and ≥7001 yuan reported occupational stress risks that were 61% (OR=0.61, 95%CI: 0.45, 0.81), 56% (OR=0.56, 95%CI: 0.41, 0.78), and 36% (OR=0.36, 95%CI: 0.24, 0.53) of those with an average monthly income ≤3000 yuan, respectively. Male workers (OR=1.66, 95%CI: 1.32, 2.10) and those on night shifts (OR=2.29, 95%CI: 1.90, 2.76) had a higher risk of occupational stress. The random effects variance showed that the intraclass correlation coefficient was 0.12. Conclusion There is a negative correlation between occupational stress and occupational health literacy among workers in mining and manufacturing. Being male, having a low income, and working night shifts are risk factors affecting workers' occupational stress. It is recommended to focus on these groups of workers and incorporate occupational health literacy into workplace mental health promotion.

Climate change has evolved from an environmental issue into a global public health crisis, posing severe challenges to healthcare systems. Issues such as shifts in patient disease patterns, increased care demands for vulnerable populations, and insufficient resilience in nursing systems are becoming increasingly prominent. As the frontline of healthcare delivery, nursing practice directly confronts multiple health risks triggered by climate change. Under the Healthy China 2030 strategy, the role of nursing in addressing climate change cannot be overlooked. Therefore, this paper systematically reviewed the impacts of climate change on nursing practice and corresponding domestic and international strategies, and proposed recommendations for localized development pathways. First, strengthen climate health literacy in nursing education by integrating the climate change system into curricula and clinical practice. Second, promote nursing policy participation in global health governance to establish a climate-adaptive nursing policy system with Chinese characteristics. Finally, establish a multidisciplinary nursing research framework to foster integration among nursing science, climate science, public health, traditional Chinese medicine, and other relevant fields. This paper aims to provide theoretical foundations for constructing a climate-adaptive nursing system with Chinese characteristics, thereby advancing the coordinated development of Healthy China initiative and climate governance.