BACKGROUND: While emotional distress, encompassing anxiety and depression, has been associated with negative clinical outcomes, its impact across various clinical departments and general hospitals has been less explored. Previous studies with limited sample sizes have examined the effectiveness of specific treatments (e.g., antidepressants) rather than a systemic management strategy for outcome improvement in non-psychiatric inpatients. To enhance the understanding of the importance of addressing mental health care needs among non-psychiatric patients in general hospitals, this study retrospectively investigated the impacts of emotional distress and the effects of early detection and management of depression and anxiety on hospital length of stay (LOS) and rate of long LOS (LLOS, i.e., LOS >30 days) in a large sample of non-psychiatric inpatients. METHODS: This retrospective cohort study included 487,871 inpatients from 20 non-psychiatric departments of a general hospital. They were divided, according to whether they underwent a novel strategy to manage emotional distress which deployed the Huaxi Emotional Distress Index (HEI) for brief screening with grading psychological services (BS-GPS), into BS-GPS ( n = 178,883) and non-BS-GPS ( n = 308,988) cohorts. The LOS and rate of LLOS between the BS-GPS and non-BS-GPS cohorts and between subcohorts with and without clinically significant anxiety and/or depression (CSAD, i.e., HEI score ≥11 on admission to the hospital) in the BS-GPS cohort were compared using univariable analyses, multilevel analyses, and/or propensity score-matched analyses, respectively. RESULTS: The detection rate of CSAD in the BS-GPS cohort varied from 2.64% (95% confidence interval [CI]: 2.49%-2.81%) to 20.50% (95% CI: 19.43%-21.62%) across the 20 departments, with a average rate of 5.36%. Significant differences were observed in both the LOS and LLOS rates between the subcohorts with CSAD (12.7 days, 535/9590) and without CSAD (9.5 days, 3800/169,293) and between the BS-GPS (9.6 days, 4335/178,883) and non-BS-GPS (10.8 days, 11,483/308,988) cohorts. These differences remained significant after controlling for confounders using propensity score-matched comparisons. A multilevel analysis indicated that BS-GPS was negatively associated with both LOS and LLOS after controlling for sociodemographics and the departments of patient discharge and remained negatively associated with LLOS after controlling additionally for the year of patient discharge. CONCLUSION Emotional distress significantly prolonged the LOS and increased the LLOS of non-psychiatric inpatients across most departments and general hospitals. These impacts were moderated by the implementation of BS-GPS. Thus, BS-GPS has the potential as an effective, resource-saving strategy for enhancing mental health care and optimizing medical resources in general hospitals.
Humans ; Retrospective Studies ; Male ; Length of Stay/statistics & numerical data* ; Female ; Middle Aged ; Adult ; Psychological Distress ; Inpatients/psychology* ; Aged ; Anxiety/diagnosis* ; Depression/diagnosis*

This study explored the drying kinetics of Salviae Miltiorrhizae Radix et Rhizoma(SM), established the suitable models simulating the drying kinetics, and then analyzed the dynamic changes of active components during the drying processes with different methods, aiming to provide a basis for the establishment of suitable drying methods and the quality control of SM. The drying kinetics were studied based on the drying curve, drying rate, moisture effective diffusion coefficient, and drying activation energy, and the appropriate drying kinetics model of SM was established. The drying performance of different methods, such as hot air drying, infrared drying, and microwave drying of SM was evaluated, and the changes in the content of 10 salvianolic acids and 6 tanshinones during drying were analyzed by UPLC-TQ-MS. The Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS) was employed to evaluate the quality of SM dried with different methods. The results showed that the drying rate and moisture effective diffusion coefficient of SM increased with the rise in drying temperature, and the maximum drying rates of different methods were in the order of microwave drying > infrared drying > hot air drying, slice > whole root. The drying rate decreased with the rise in temperature and the extension of drying time. The activation energy of hot air drying was higher than that of infrared drying in SM. The most suitable model for simulating the drying process of SM was the Page model. The TOPSIS results suggested infrared drying at 50 ℃ was the optimal drying method for SM. During the drying process, the content of salvianolic acids increased in different degrees with the loss of moisture, among which salvianolic acid B showed the largest increase of 44 times compared with that in the fresh medicinal material. Tanshinones also existed in the fresh herb of SM, and the content of tanshinone Ⅱ_A increased by 3 times after drying. The results provided a basis for the establishment of suitable drying methods and the quality control of SM.
Salvia miltiorrhiza/chemistry* ; Desiccation/methods* ; Drugs, Chinese Herbal/chemistry* ; Rhizome/chemistry* ; Kinetics ; Quality Control ; Abietanes

To clarify the species, pathogenicity, and distribution of the pathogens causing the root rot of Atractylodes lancea in Hubei province, the tissue separation method was used to isolate the pathogens from root rot samples in the main planting areas of A. lancea in Hubei. Based on the preliminary identification of the Fusarium genus by the internal transcribed spacer(ITS) sequence, three housekeeping genes, EF1/EF2, Btu-F-FO1/Btu-F-RO1, and FF1/FR1, were amplified and sequenced. Subsequently, a phylogenetic tree was constructed based on these TEF gene sequences to classify the pathogens. The pathogenicity of these strains was determined using the root irrigation method. A total of 194 pathogen strains were isolated using the tissue separation method. Molecular identification using the three housekeeping genes identified the pathogens as F. solani, F. oxysporum, F. commune, F. equiseti, F. tricinctum, F. redolens, F. fujikuroi, F. avenaceum, F. acuminatum, and F. incarnatum. Among them, F. solani and F. oxysporum were the dominant strains, widely distributed in multiple regions, with F. solani accounting for approximately 54% of the total isolated strains and F. oxysporum accounting for approximately 34%. Other strains accounted for a relatively small proportion, totaling approximately 12%. The results of pathogenicity determination showed that there were certain differences in pathogenicity among strains. The analysis of the pathogenicity differentiation of the widely distributed F. solani and F. oxysporum strains revealed that these dominant strains in Hubei were mainly highly pathogenic. This study determined the species, pathogenicity, and distribution of the pathogens causing the root rot of A. lancea in Hubei province. The results provide a scientific basis for further understanding the root rot of A. lancea and its epidemic occurrence and scientifically preventing and controlling this disease.
Plant Diseases/microbiology* ; Atractylodes/microbiology* ; Phylogeny ; Plant Roots/microbiology* ; Fusarium/classification* ; China ; Virulence ; Fungal Proteins/genetics*

This study primarily investigates the effect of Liuwei Dihuang Pills on the activation and proliferation of female germline stem cells(FGSCs) in the ovaries and cortex of mice with premature ovarian failure(POF), and how it improves ovarian function. ICR mice were randomly divided into the control group, model group, Liuwei Dihuang Pills group, Liuwei Dihuang Pills double-dose group, and estradiol valerate group. A mouse model of POF was established by intraperitoneal injection of cyclophosphamide. After successful modeling, the mice were treated with Liuwei Dihuang Pills or estradiol valerate for 28 days. Vaginal smears were prepared to observe the estrous cycle and body weight. After the last administration, mice were sacrificed and sampled. Serum levels of estradiol(E_2), follicle-stimulating hormone(FSH), luteinizing hormone(LH), and anti-Müllerian hormone(AMH) were measured by enzyme-linked immunosorbent assay(ELISA). Hematoxylin-eosin(HE) staining was used to observe ovarian morphology and to count follicles at all stages to evaluate ovarian function. Immunohistochemistry was used to detect the expression of mouse vasa homolog(MVH), a marker of ovarian FGSCs. Immunofluorescence staining, using co-labeling of MVH and proliferating cell nuclear antigen(PCNA), was used to detect the expression and localization of specific markers of FGSCs. Western blot was employed to assess the protein expression of MVH, octamer-binding transcription factor 4(Oct4), and PCNA in the ovaries. The results showed that compared with the control group, the model group exhibited disordered estrous cycles, decreased ovarian index, increased atretic follicles, and a reduced number of follicles at all stages. FSH and LH levels were significantly elevated, while AMH and E_2 levels were significantly reduced, indicating the success of the model. After treatment with Liuwei Dihuang Pills or estradiol valerate, hormone levels improved, the number of atretic follicles decreased, and the number of follicles at all stages increased. MVH marker protein and PCNA proliferative protein expression in ovarian tissue also increased. These results suggest that Liuwei Dihuang Pills regulate estrous cycles and hormone disorders in POF mice, promote the proliferation of FGSCs, improve follicular development in POF mice, and enhance ovarian function.
Animals ; Female ; Drugs, Chinese Herbal/administration & dosage* ; Mice ; Cell Proliferation/drug effects* ; Mice, Inbred ICR ; Ovary/cytology* ; Primary Ovarian Insufficiency/genetics* ; Follicle Stimulating Hormone/metabolism* ; Humans ; Anti-Mullerian Hormone/blood* ; Antineoplastic Agents/adverse effects* ; Luteinizing Hormone/metabolism* ; Cyclophosphamide/adverse effects*

With the growing awareness of public health, the value and importance of traditional Chinese medicine(TCM) resources have become increasingly prominent. Despite the undeniable significance of TCM in medical treatment and healthcare, the protection, development, and utilization of TCM resources still face numerous challenges. Under the traditional model, the development and utilization of TCM resources heavily rely on manual labor and empirical decision-making, which not only leads to inefficiencies and high costs but also causes serious issues such as unstable drug quality and imbalances in market supply and demand. In the current era of rapid advancements in artificial intelligence(AI) and technology, AI has emerged as a new engine to address many challenges and difficulties throughout the entire TCM resource industry chain. By leveraging AI technology, intelligent management, precise production, and optimized utilization of TCM resources can be achieved, thereby improving efficiency, reducing costs, ensuring stable quality, and balancing market supply and demand. This article primarily explores the application of AI technology in the entire TCM resource industry chain from different perspectives and provides an in-depth analysis of the future development of AI in the TCM industry. It holds significant importance and value in promoting the intelligent development of the TCM sector and facilitating the healthy development of the entire TCM resource industry chain.
Artificial Intelligence ; Medicine, Chinese Traditional/economics* ; Humans ; Drugs, Chinese Herbal/economics* ; Drug Industry

OBJECTIVE: To retrospectively analyze the genetic differences of thalassemia gene mutations among ethnic groups in Hechi, Guangxi. METHODS: A total of 15 595 whole blood samples of residents of Hechi from January 1, 2020 to June 30, 2023 were screened for thalassemia, and the Gap-PCR method and RDB-PCR method were used to perform genetic testing on the positive samples. Gene sequencing was performed on the samples with positive screening results but negative genotyping results. RESULTS: Among the 15 595 samples, 10 501 cases were screened positively, and 8 506 cases were thalassemia gene carriers among the positive samples, with a positive coincidence rate of 81.00%. Among them, there were 5 374 cases of α-thalassemia, 2 531 cases of β-thalassemia, and 601 cases of α+β compound thalassemia. A total of 13 mutant types were detected in α-thalassemia, including --^SEA (48.57%), -α ^3.7 (31.31%), α ^CS (8.57%) and -α ^4.2 (8.07%). A total of 17 mutant types were detected in β-thalassemia, mainly CD17 (48.27%) and CD41-42 (41.24%). The thalassemia gene carriers were mainly from the Zhuang (6 106 cases), Han (969 cases), Yao (793 cases), Mulam (275 cases), and Maonan (228 cases) ethnic groups. The comparison of constituent ratios within the above five ethnic groups demonstrated that there were differences in the proportions of -- ^SEA, -α ^3.7, α ^CS , and -α ^4.2 among the Zhuang, Han, and Yao ethnic groups (P < 0.005). The proportion of α ^CS in the Mulam ethnic group was not significantly different from -α ^3.7 and -α ^4.2. The proportions of -- ^SEA, -α^3.7, and α ^CS in the Maonan ethnic group were not significantly different. There were no significant differences in the proportion of CD17 and CD41-42 among the Han, Yao, Mulam and Maonan ethnic groups. The proportion of --^SEA was the highest in the Mulam ethnic group (56.68%), which was statistically different from 35.92% in the Maonan ethnic group. The proportion of -α ^3.7 was the highest in the Zhuang ethnic group (33.25%), and the difference was statistically significant compared to the Mulam ethnic group which had the lowest proportion (18.72%). The proportion of α ^CS was the highest in the Maonan ethnic group (27.46%), and the differences were statistically significant compared with other ethnic groups. The proportions of CD17 in the Zhuang and Maonan ethnic groups (50.79%, 55.68%) were higher than those in the Han (39.12%), Yao (39.63%) and Mulam (30.00%), and the differences were statistically significant. There was no significant difference in the proportion of CD41-42 among the above five ethnic groups. CONCLUSIONS The mutation type and distribution differences of genes causing thalassemia among main ethnic groups in the minority inhabited areas of Hechi, Guangxi, show the characteristics of ethnic differentiation. The result is helpful to develop a special prevention and control plan for thalassemia in line with the population distribution characteristics, and provide reference for revealing the genetic background and geographical distribution of thalassemia in this area.
Humans ; China ; beta-Thalassemia/genetics* ; Ethnicity/genetics* ; alpha-Thalassemia/genetics* ; Mutation ; Genotype ; Retrospective Studies ; Asian People/genetics* ; Thalassemia/genetics* ; Male

Objective:To discuss the association between occupational acid fog exposure and accelerated biological aging of the workers,and to clarify its related risk factors.Methods:A total of 341 male workers exposed to occupational acid fog and 201 male workers without occupational exposure were selected as the study subjects,and they were divided into exposure group and control group,respectively.The general informations of the subjects in two groups were collected through questionnaires and physical examinations.The levels of red blood cell count(RBC),platelet count(PLT),albumin(ALB),urea(Urea),creatinine(CR),triglycerides(TG),total cholesterol(TC),glycated hemoglobin(HBA1c),and high-sensitivity C-reactive protein(Hs-CRP)in serum of the subjects in two groups were detected.The Klemera-Doubal method(KDM)was used to construct the composite aging measure,KDM-biological age(BA)(KDM-BA).The model parameters were trained using samples from the 2009 China Health and Nutrition Survey(CHNS)Database to calculate the BA acceleration of the subjects in two groups;stratified analysis based on the population characteristics was conducted to analyze the BA of the subjects in two groups with different population characteristics;generalized linear model was used to analyze the factors influencing BA acceleration due to acid fog exposure.Results:The model parameters were trained using samples from the 2009 CHNS Database,including 8 133 cases aged 20-79 years,of which 3 788 were male.The levels of Urea,CR,HBA1c,ALB,and TC,as well as systolic blood pressure(SBP),total working years,sleep duration,and body mass index(BMI)of the subjects between two groups had significant differences(P<0.05).Compared with control group,the BA acceleration of the subjects in exposure group was significantly increased(P<0.05).In entire population and exposure group,the BA acceleration in the smokers was significantly higher than that in the non-smokers(P<0.05).In entire population,control group,and exposure group,the BA accelerations of the subjects in different BMI groups were significantly decreased with the increase of BMI(P<0.05).Compared with control group,the BA acceleration of the subjects in exposure group was significantly increased(P<0.05),including those under 40 years old,with total working years of 4-7 years,Han nationality,unmarried,smokers,and sleep duration 6-7 h,and with overweight.Acid fog exposure,smoking,and BMI were associated with the BA acceleration(β=0.72,95%CI:0.24-1.21;β=0.59,95%CI:0.11-1.06;β=-0.29,95%CI:-0.35—-0.22).Conclusion:Occupational acid fog exposure may accelerate the biological aging in the workers,and acid fog is a risk factor to accelerate the biological aging of the body.

Objective As primary Sj?gren's syndrome(pSS)primarily affects the salivary glands,saliva can serve as an indicator of the glands'pathophysiology and the disease's status.This study aims to illustrate the salivary proteomic profiles of pSS patients and identify potential candidate biomarkers for diagnosis. Methods The discovery set contained 49 samples(24 from pSS and 25 from age-and gender-matched healthy controls[HCs])and the validation set included 25 samples(12 from pSS and 13 from HCs).Totally 36 pSS patients and 38 HCs were centrally randomized into the discovery set or to the validation set at a 2:1 ratio.Unstimulated whole saliva samples from pSS patients and HCs were analyzed using a data-independent acquisition(DIA)strategy on a 2D LC-HRMS/MS platform to reveal differential proteins.The crucial proteins were verified using DIA analysis and annotated using gene ontology(GO)and International Pharmaceutical Abstracts(IPA)analysis.A prediction model for SS was established using random forests. Results A total of 1,963 proteins were discovered,and 136 proteins exhibited differential representation in pSS patients.The bioinformatic research indicated that these proteins were primarily linked to immunological functions,metabolism,and inflammation.A panel of 19 protein biomarkers was identified by ranking order based on P-value and random forest algorichm,and was validated as the predictive biomarkers exhibiting good performance with area under the curve(AUC)of 0.817 for discovery set and 0.882 for validation set. Conclusions The candidate protein panel discovered may aid in pSS diagnosis.Salivary proteomic analysis is a promising non-invasive method for prognostic evaluation and early and precise treatments for pSS patients.DIA offers the best time efficiency and data dependability and may be a suitable option for future research on the salivary proteome.

ObjectiveTo develop traditional Chinese medicine （TCM） formulae for the treatment of nonsevere coronavirus disease 2019 （COVID-19） and to explore its anti-inflammatory mechanism. MethodsThe dysregulated signaling pathways were determined in macrophages from bronchoalveolar lavage fluid of COVID-19 patients and in lung epithelial cells infected with SARS-CoV-2 in vitro based on transcriptome analysis. A total of 102 TCM formulae for the clinical treatment of nonsevere COVID-19 were collected through literature. The pathway-reversing rates of these formulae in macrophages and lung epithelial cells were evaluated based on signature signaling pathways， and the basic formula was determined in conjunction with TCM theory. The commonly used Chinese materia medica for nonsevere COVID-19 were summarized from the 102 TCM formulae as abovementioned. And together with the screening results from the Pharmacopoeia of the People's Republic of China， a “Chinese materia medica pool” was esta-blished for the development of TCM formulae for COVID-19. The regulatory effects of each herb on signaling pathways were obtained based on targeted transcriptome analysis. Oriented at reversing dysregulated signaling pathways of COVID-19， the calculation was carried out， and the artificial intelligent methods for compositing formulae， that are exhaustive method and parallel computing， were used to obtain candidate compound formulas. Finally， with reference to professional experience， an innovative formula for the treatment of nonsevere COVID-19 was developed. The ethanol extract of the formula was evaluated for its anti-inflammatory effects by detecting the mRNA expression of interleukin 1b （Il1b）， C-X-C motif chemokine ligand 2 （Cxcl2）， C-X-C motif chemokine ligand 10 （Cxcl10）， C-C motif chemokine ligand 2 （Ccl2）， nitric oxide synthase 2 （Nos2）， and prostaglandin-endoperoxide synthase 2 （Ptgs2） using reverse transcription-quantitative polymerase chain reaction （RT-qPCR） in RAW264.7 cells treated with lipopolysaccharide （LPS）. ResultsIn macrophages and lung epithelial cells， 34 dysregulated signaling pathways associated with COVID-19 were identified respectively. The effects of the 102 formulae for clinical treatment of nonsevere COVID-19 were evaluated based on the dysregulated signaling pathways and targeted transcriptome， and the result showed that Yinqiao Powder and Pingwei Powder （银翘散合平胃散， YQPWP） ranked first， reversing 91.18% of the dysregulated signaling pathways in macrophages and 100% of the dysregulated signaling pathways in lung epithelial cells. Additionally， YQPWP had the function of scattering wind and clearing heat， resolving toxins and removing dampness in accordance with the pathogenesis of wind-heat with dampness in COVID-19. It was selected as the basic formula， and was further modified and optimized to develop an innovative fomula Qiaobang Zhupi Yin （翘蒡术皮饮， QBZPY） based on expert experience and artificial intelligence in composing formulae. QBZPY can reverse all the dysregulated signaling pathways associated with COVID-19 in macrophages and lung epithelial cells， with the reversing rates of 100%. The chief medicinal of QBZPY， including Lianqiao （Fructus Forsythiae）， Xixiancao （Herba Siegesbeckiae） and Niubangzi （Fructus Arctii）， can down-regulate multiple signaling pathways related with virus infection， immune response， and epithelial damage. RT-qPCR results indicated that compared with the model group， the QBZPY group down-regulated the mRNA expression of Il1b， tumor necrosis factor （Tnf）， Cxcl2， Cxcl10， Ccl2， Nos2 and Ptgs2 induced by LPS in RAW264.7 cells （P＜0.05 or P＜0.01）. ConclusionBased on targeted transcriptome analysis， expert experience in TCM and artificial intelligence， QBZPY has been developed for the treatment of nonsevere COVID-19. The ethanol extract of QBZPY has been found to inhibit mRNA expression of several pro-inflammatory genes in a cellular inflammation model.

Objective To retrieve,evaluate and summarize the best evidence of early mobilization in awake patients on extracorporeal membrane oxygenation,and to provide a reference for clinical practice.Methods UpToDate,BMJ Best Practice,Registered Nurses'Association of Ontario,National Guideline Clearinghouse,National Institute for Health and Care Excellence,Yimaitong,Joanna Briggs Institute Library,Cochrane Library,CINAHL,PubMed,SinoMed,CNKI,Wanfang Database,Vip Database and Extracorporeal Life Support Organization Website were researched to collect the literature,including clinical guidelines,expert consensuses,evidence summaries,systematic reviews,and well-designed original studies.The time limit for retrieval was until June 2023.The quality of literature and the level of evidence were evaluated by the evaluation criteria and evidence grading system of J BI Evidence-Based Health Care Center.Results 14 pieces of the literature were included,including 2 clinical guidelines,4 expert consensuses,5 systematic reviews,2 cohort studies and 1 case series.Totally 33 pieces of evidence were summarized,covering 7 aspects:adaptation conditions for the implementation of awake ECMO,team composition,comprehensive assessment,pre-mobilization preparation,mobilization content,prevention and control of adverse events,and effect evaluation.Conclusion The study summarizes the best evidence of early mobilization in awake patients on extracorporeal membrane oxygenation.It is suggested that medical institutions establish a professional team for the early mobilization of awake ECMO patients,apply the best evidence to standardize the early mobilization process,and formulate an individualized mobilization program.