ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

Digital technologies have become an integral part of complete denture restoration. With advancement in computer-aided design and computer-aided manufacturing (CAD/CAM), tools such as intraoral scanning, facial scanning, 3D printing, and numerical control machining are reshaping the workflow of complete denture restoration. Unlike conventional methods that rely heavily on clinical experience and manual techniques, digital technologies offer greater precision, predictability, and efficacy. They also streamline the process by reducing the number of patient visits and improving overall comfort. Despite these improvements, the clinical application of digital complete denture restoration still faces challenges that require further standardization. The major issues include appropriate case selection, establishing consistent digital workflows, and evaluating long-term outcomes. To address these challenges and provide clinical guidance for practitioners, this expert consensus outlines the principles, advantages, and limitations of digital complete denture technology. The aim of this review was to offer practical recommendations on indications, clinical procedures and precautions, evaluation metrics, and outcome assessment to support digital restoration of complete denture in clinical practice.
Humans ; Denture, Complete ; Computer-Aided Design ; Denture Design/methods* ; Consensus ; Printing, Three-Dimensional

ObjectiveTo explore the association between short-term exposure to atmospheric fine particulate matter （PM_2.5） and ozone （O₃） and systemic inflammatory indicators in patients with pneumonia， and to identify the susceptible populations. MethodsFrom September 2018 to April 2020， data of 1 480 patients admitted for pneumonia was collected from a tertiary hospital in Taiyuan City. Generalized additive models （GAMs） were used to explore the associations between PM_2.5 and O₃ exposure and inflammatory indicators of patients with pneumonia； and to explore the susceptibility factors and susceptible populations to PM_2.5 and O₃ exposures through stratified analyses. ResultsThe short-term exposure to PM_2.5 was associated with changes in peripheral blood C-reation protein （CRP）， erythrocyte sedimentation （ESR）， easinophil （EOS）， neutrophil （NEU） and neutrophil-lymphocyte ratio （NLR） in patients with pneumonia， and there were different degrees of hysteresis effects， with the effect values reaching a maximum at lag03， lag03， lag0， lag03， lag03， respectively， which were 4.13% （95%CI： 0.43%‒7.84%）， 3.10% （95%CI： 0.24%‒5.97%）， 5.27% （95%CI： 3.12%‒7.42%）， 1.85% （95%CI： 0.36%‒3.34%）， and 2.53% （95%CI： 0.53%‒4.74%） for every 10 μg·m^-3 of PM_2.5. The changes in O₃ concentration were associated with the elevation of peripheral blood PCT and ESR in patients with pneumonia， and their effect values all reached the maximum at lag01 d， every 1 μg·m^-3 of O₃ elevation increased by 0.38% （95%CI： 0.04%‒0.73%） and 0.47% （95%CI： 0.19%‒0.76%）， respectively. Stratified analyses showed that the associations of PM_2.5 with peripheral blood CRP， ESR， NEU， and NLR in pneumonia patients were more significant in males， the elderly， and those with onset in the cold season； the associations of O₃ with peripheral blood PCT and ESR in pneumonia patients were more significant in the elderly and those with onset in the warm season， and the peripheral blood CRP and PCT in female patients with pneumonia were more susceptible to the changes of O₃. ConclusionShort-term exposure to atmospheric PM_2.5 and O₃ are positively associated with changes in inflammatory indicators in patients with pneumonia， and the effects of PM_2.5 on patients with pneumonia are more extensive than those of O₃， with a longer lag effect. In addition， elderly patients with pneumonia are more sensitive to air pollution， male patients with pneumonia are more sensitive to PM_2.5， and female patients with pneumonia are more sensitive to O₃. Cold and warm seasons can exacerbate the effects of PM_2.5 and O₃ on inflammatory indicators in patients with pneumonia， respectively， and the patients must be protected well.

Background: Twenty-four-hour urinary free cortisol (UFC) measurement is the initial diagnostic test for Cushing’s syndrome (CS). We compared UFC determination by both direct and extraction immunoassays using Abbott Architect, Siemens Atellica Solution, and Beckman DxI800 with liquid chromatography-tandem mass spectrometry (LC-MS/MS). In addition, we evaluated the value of 24-hr UFC measured by six methods for diagnosing CS. Methods: Residual 24-hr urine samples of 94 CS and 246 non-CS patients were collected.A laboratory-developed LC-MS/MS method was used as reference. UFC was measured by direct assays (D) using Abbott, Siemens, and Beckman platforms and by extraction assays (E) using Siemens and Beckman platforms. Method was compared using Passing–Bablok regression and Bland–Altman plot analyses. Cut-off values for the six assays and corresponding sensitivities and specificities were calculated by ROC analysis. Results: Abbott-D, Beckman-E, Siemens-E, and Siemens-D showed strong correlations with LC-MS/MS (Spearman coefficient r = 0.965, 0.922, 0.922, and 0.897, respectively), while Beckman-D showed weaker correlation (r = 0.755). All immunoassays showed proportionally positive bias. The areas under the curve were 0.975 for Abbott-D, 0.972 for LCMS/MS, 0.966 for Siemens-E, 0.948 for Siemens-D, 0.955 for Beckman-E, and 0.877 for Beckman-D. The cut-off values varied significantly (154.8–1,321.5 nmol/24 hrs). Assay sensitivity and specificity ranged from 76.1% to 93.2% and from 93.0% to 97.1%, respectively. Conclusions Commercially available immunoassays for measuring UFC show different levels of analytical consistency compared to LC-MS/MS. Abbott-D, Siemens-E, and Beckman-E have high diagnostic accuracy for CS.

Objective To examine the reliability and validity of the Suicidal Behaviors Questionnaire-Revised(SBQ-R)among Chinese undergraduates and to find out cut-off score for screening the risk of suicide in clinical undergraduates.Methods A total of 488 Chinese undergraduates participated in this study.Of them,366 participants were asked to complete the Chinese version of SBQ-R,Psychache Scale,and Satisfaction with Life Scale.And 45 undergraduates were re-tested after four weeks;122 undergraduates were tested by using the Suicidality Module Section of the Mini International Neuropsychiatric Interview and the Chinese version of SBQ-R.Results ① The results showed that The Chinese version of SBQ-R had one factor with good fit indices.② The internal consistency reliability,split-half reliability,and one-month retest reliability of the total questionnaire were 0.76,0.79,and 0.93,respectively.③ The total score of the SBQ-R in Chinese was positively correlated with psychache but negatively correlated with satisfaction of life,indicating that the scale has good criterion-related validity.④ Receiver operating characteristics(ROC)curve evaluation suggested that the cut-off score was 9 in terms of identifying the clinical undergraduates at high risk of suicide.Conclusion SBQ-R is a reliable,valid,and practical instrument to measure the risk of suicide among Chinese undergraduates.SBQ-R＞9 is the best cut-off value for screening for high suicide risk in China.

Objective:To summarize the clinical and genetic characteristics of children with β-ketothiolase deficiency (BKTD).Methods:The clinical characteristics, biochemical, markers detected by tandem mass spectrometry (MS/MS) and gas chromatography-mass spectrometry (GC/MS), as well as the variants in ACAT1 gene among 5 children with BKTD in Children′s Hospital of Chongqing Medical University between October 2018 and December 2022 were retrospectively analyzed.Results:The onset age of the disease in 5 patients (4 males and 1 female) ranged from 9.7 to 28.0 months. During the acute phase, severe metabolic acidosis was observed with a pH of 6.9-7.1, as well as hypoglycaemia (2.3-3.4 mmol/L) and positive urinary ketone bodies (+-++++). Blood levels of methylcrotonyl carnitine, methylmalonyl carnitine and malonyl carnitine were 0.03-0.42, 0.34-1.43 and 0.83-3.53 μmol/L respectively and were significantly elevated. Urinary 2-methyl-3-hydroxybutyric acid was 22-202 and 3-hydroxybutyric acid was 4-6 066, both were higher than the normal levels. Methylcrotonylglycine was mild elevated (0-29). The metabolites detected by MS/MS and GC/MS were significantly reduced after treatment. Analysis of ACAT1 gene mutation was performed in 5 children. Most variants were missense (8/9). Four previously unreported variants were identified: c.678G>T (p.Trp226Cys), c.302A>G (p.Gln101Arg), c.627_629dupTGA (p.Asn209_Glu210insAsp) and c.316C>T (p.Gln106Ter), the first 2 variants were predicted to be damaging by SIFT, PolyPhen-2 and Mutation Taster software. c.316C>T (p.Gln106Ter) is a nonsense variant.Conclusions:β-ketothiolase deficiency is relatively rare, lacks specific clinical manifestations, however severe metabolic acidosis, hypoglycemia, and ketosis during the acute onset were consistent findings. Missense mutations in the ACAT1 gene are common genetic causes of β-ketothiolase deficiency.

Objective Based on the Hood Policy Tool perspective on China's DIP policy text mining,word frequen-cy analysis and clustering analysis of the policy content,to explore the actual policy in each pilot region,to further analyze the reasons,to provide a scientific and reference for the subsequent policy adjustment and implementation.Methods Policies were included in this study from platforms such as local healthcare protection bureaus,local health-care commissions,local people's government portals,and NVivo,from which policy documents with a high degree of relevance to DIP were selected.NVivo 20.0 software was used for text coding,word frequency analysis,and analysis based on Hood's policy tool dimensions and regional distribution dimensions to further explore DIP policy specifics.Results A total of 27 policies were included,covering all pilot provinces,with a total of 1,707 policy codes.Authoritative,fiscal,informational,and organizational policy instruments accounted for 54.9％,20.3％,16.9％,and 7.9％,respectively.The percentage of coded reference points in the East,Central,West,and Northeast regions were 23.0％,20.2％,44.5％,and 8.7％,respectively.Conclusion The use of DIP policy tools in the pilot regions focused on authoritative tools and less on organization tools.Among the authoritative policy tools,the sub-tools of mechanism building were mostly used,while the sub-tools of standards and norms were less used.The focus of the policy tools varies among the pilot regions,and the use of policy tools should be tailored to the local context.

Objective To investigate the effect of minocycline(Mino)on the polarization of types M1/M2 microglia(pro-and anti-inflammatory type)in the spinal dorsal horn of rats with neuropathic pain(NP)induced by spinal nerve ligation(SNL)and its underlying mechanism.Methods A total of 36 adult male SD rats were randomly stratified into Sham-operation(Sham)group,SNL group and Mino+SNL group by stratified random sampling based on body weight.Mechanical pain threshold and cold nociceptive thresholds of rat hind paw were measured in 1 d before and 14 d after modelling.Spinal cord tissue at the lumbar 5(L5)segment was taken at 14 d after modelling,and the total number of microglia as well as the numbers of M1 and M2 microglia in the spinal dorsal horn were measured with immunohistochemistry and stereology.With aid of bioinformatics techniques,the core target in the spinal cord,Cst7,was selected.Then,the protein levels of microglia marker Iba-1,M1 microglia marker iNOS,M2 microglia marker CD206,Cst7 encoded protein cystatin F(CF)and pathway CatS/CX3CL1/CX3CR1 were detected with Western blotting.The expression levels of TNF-α,IL-6 and IL-10 in the spinal cord tissues were measured with ELISA.Results The mechanical pain and cold nociceptive thresholds were both significantly higher in the M+SNL group than the SNL group at 7～14 d after modelling(P＜0.01).The total number of microglia and the numbers of M1/M2 microglia in the spinal dorsal horn as well as the expression levels of CatS,CX3CL1,CX3CR1,TNF-α,IL-6,and IL-10 in the spinal cord tissues were obviously increased,and the expression level of CF was notably decreased in the SNL model group than the Sham group(P＜0.01).While,Mino treatment remarkably reversed above phenomena,with decreased total number of microglia and number of M1 microglia as well as expression levels of CatS,CX3CL1,CX3CR1,TNF-α and IL-6,and increased number of M2 microglia as well as CF and IL-10 levels when compared with the SNL group(P＜0.05).Conclusion Mino alleviates SNL induced neuropathic pain,probably through up-regulating CF in the microglia,and thus inhibiting the CatS/CX3CL1/CX3CR1 signaling pathway,promoting the conversion of microglia from type M1 to M2 to balance the imbalance in the M1/M2 polarization,and thus reducing neuroinflammation.