This study selected 6 529 plant-based Chinese materia medica(PCMM) from Chinese Materia Medica as research subjects and applied a random permutation test to explore the overall correlation characteristics between nature and flavor, as well as the correlation characteristics after distinguishing different medicinal parts and harvest seasons. The results showed that the overall correlation characteristics between nature and flavor in PCMM were significantly associated in the following pairs: cold and bitter, cool and bitter, cool and astringent, cool and light, neutral and sweet, neutral and astringent, neutral and light, neutral and sour, hot and pungent, and warm and pungent. When analyzing the data by distinguishing medicinal parts and/or harvest seasons, new correlation patterns emerged, characterized by the disappearance of some significant correlations and the emergence of new ones. When analyzing by medicinal parts alone, significant correlations were found in the following cases: cold and light in leaves, cold and salty in barks, cool and sweet in fruits and seeds, neutral and pungent in whole herbs, neutral and salty in stems, and warm and salty in flowers. However, no significant correlations were found between cool and bitter in stems and other types of herbs, cool and astringent in fruits, seeds, flowers, and other types of herbs, cool and light in leaves, fruits, seeds, barks, flowers and other types of herbs, neutral and sweet in barks, neutral and astringent in whole herbs and stems, neutral and light in leaves, fruits, seeds, and flowers, neutral and sour in whole herbs, stems, barks, flowers, and other types of herbs, and hot and pungent in whole herbs, stems, flowers, and other types of herbs. When analyzing by harvest season alone, significant correlations were found in the following cases: cold and salty, and cool and sour in herbs harvested in winter, and neutral and salty in herbs harvested year-round. However, no significant correlation was found between cool and light in herbs harvested in winter. When considering both medicinal parts and harvest seasons, compared to the independent influence of medicinal parts, 14 new significant correlations emerged(e.g., the correlation between cool and bitter in stems harvested in spring), while 53 previously significant correlations disappeared(e.g., the correlation between cool and bitter in barks harvested in summer). Compared to the independent influence of harvest seasons, 11 new significant correlations appeared(e.g., the correlation between cold and light in barks harvested in autumn), while 50 previously significant correlations disappeared(e.g., the correlation between hot and pungent in leaves harvested in winter). This study is the first to reveal the influence of medicinal parts and harvest seasons on the correlation between nature and flavor in PCMM, which highlights that these two factors can interact and jointly affect nature-flavor correlations. Further research is needed to explore the underlying mechanisms. This study provides a deeper understanding of the inherent scientific connotations of herbal properties and offers a theoretical foundation for the cultivation and harvesting of PCMM.
Seasons ; Plants, Medicinal/growth & development* ; Drugs, Chinese Herbal/chemistry* ; Taste

Ecological cultivation is an important way for the sustainable production of traditional Chinese medicine in the context of the carbon peaking and carbon neutrality goals. Facility cultivation and simulative habitat cultivation modes have been developed and applied to develop the endangered Dendrobium huoshanense on the basis of protection. However, the differences in the greenhouse gas emissions and global warming potential of these cultivation modes remain unexplored, which limits the accurate assessment of carbon-friendly ecological cultivation modes of D. huoshanense. Greenhouse gas emission flux monitoring based on the static chamber method provides an effective way to solve this problem. Therefore, this study conducted a field experiment in the facility cultivation and simulative habitat cultivation modes at a D. huoshanense cultivation base in Dabie Mountains, Anhui Province. From April 2023 to March 2024, samples of greenhouse gases were collected every month, and the concentrations of CO_2, CH_4, and N_2O of the samples were then detected by gas chromatography. The greenhouse gas emission fluxes, cumulative emissions, and global warming potential were further calculated, and the following results were obtained.(1)The two cultivation modes of D. huoshanense showed significant differences in greenhouse gas emission fluxes, especially the CO_2 emission flux, with a pattern of facility cultivation>simulative habitat cultivation [(35.60±11.70)mg·m~(-2)·h~(-1) vs(2.10±4.59)mg·m~(-2)·h~(-1)].(2) The annual cumulative CO_2 emission flux in the case of facility cultivation was significantly higher than that of simulative habitat cultivation[(3 077.00±842.00)kg·hm~(-2) vs(221.00±332.00)kg·hm~(-2)], while no significant difference was found in annual cumulative CH_4 and N_2O emission fluxes.(3) The facility cultivation mode had a significantly higher global warming potential than the simulative habitat cultivation mode [(3 053.00±847.00)kg·hm~(-2) vs(196.00±362.00)kg·hm~(-2)]. Overall, the simulative habitat cultivation of D. huoshanense has obvious carbon-friendly characteristics compared with facility cultivation, which is in line with the concept of ecological cultivation of medicinal plants. This study is of great reference significance for the implementation and promotion of the ecological cultivation mode of D. huoshanense under carbon peaking and carbon neutrality goals.
Dendrobium/chemistry* ; Greenhouse Gases/metabolism* ; Carbon/analysis* ; Ecosystem ; Carbon Dioxide/metabolism* ; China ; Global Warming

italic>Lamiophlomis rotata is an important medicinal plant species endemic to the Tibetan Plateau, which is prone to strong climate change impacts on its habitable range due to the high sensitivity of the Tibetan Plateau to climate change. Accurate quantification of species vulnerability to climate change is essential for assessing species extinction risk and developing effective conservation strategies. Therefore, we carried out the α-shape analysis to determine the habitat of L. rotata. We then carried out the climate-niche factor analysis (CNFA) to assess the vulnerability of L. rotata to climate change based on five climate variables (i.e., mean diurnal range, temperature seasonality, mean temperature of warmest quarter, precipitation of driest month and precipitation of warmest quarter) in the context of two shared socioeconomic pathways (i.e., SSP126 and SSP585) and three global climate models (CMCC-ESM2: Centro Euro-Mediterraneo sui Cambiamenti Climatici-Earth System Model version 2; HadGEM3-GC31-LL: Hadley Global Environment Model version 3-Global Coupled configuration 3.1; IPSL-CM6A-LR: Institut Pierre Simon Laplace-Climate Model version 6) during two different periods (2041-2060 and 2081-2100). The vulnerability of L. rotata to climate change was calculated by integrating the sensitivity and exposure indices of L. rotata to five climate variables. The results showed that L. rotata had the highest vulnerability to the precipitation of warmest quarter. Its vulnerability within its habitat range generally showed a spatial pattern of high value in the southern region and low in the northern region, high in the western region and low in the eastern region. In general, the vulnerability of L. rotata under the SSP585 scenario was higher than that under the SSP126 scenario. The climate data of different global climate models have some influence on the results, while the resulted uncertainty can be reduced by data integration methods. As a result of climate change, the pressure on the survival of L. rotata in the future will be intensified in the low-altitude areas such as the Yarlung Zangbo River, Yigongzangbu River, Zayu River, and Jiaomuzu River, etc., while the highly weathered scree flats or stony alpine meadows in the high-altitude zones, such as the eastern Tanggula Mountain Range, the northern part of Hengduan Mountain Range, and the western part of the Qinling Mountains, may become its refuge. It is necessary to focus on and strengthen the protection and management of L. rotata resources in these vulnerble and critical areas.

italic>Platycodon grandiflorum (Jacq.) A. DC is one of the most commonly used bulk medicinal herbs. It has important value in the fields of medicine, food and cosmetics, and its market demand is increasing year by year, and it has a good development prospect. In this study, based on 403 distribution records and 8 environmental variables, we used Maxent model to predict the potential distribution of P. grandiflorum under climate change. The results showed that the model simulation effect was the best when the Maxent parameter was FC (feature combination) = LQPH (L: linear features; Q: quadratic features; P: product features; H: hinge features) and RM (regularization multiplier) = 2.1, AUC (area under curve) = 0.901, and the model prediction showed that P. grandiflorum was widely distributed in 28 provinces of China under the current climate conditions, with a suitable area of 2 337 419.98 km². Under the influence of climate change in the future, the area of suitable habitat of P. grandiflorum showed a decreasing trend, and the distribution center as a whole showed a trend of northward and eastward shift. The distribution area of P. grandiflorum in the three main producing areas is affected by climate change, and the overall trend is that the future suitable distribution area of Chifeng in Inner Mongolia increases, while the future suitable distribution area of Zibo in Shandong and Taihe, Bozhou in Anhui decreases or even disappears under the SSP5-8.5 scenario (shared socioeconomic pathways). It is suggested to maintain and protect the ecological environment and germplasm resources of the reserved area suitable for the growth of P. grandiflorum, and increase the cultivation research in the expansion area of P. grandiflorum, so as to lay a foundation for the subsequent expansion of P. grandiflorum planting and to promote the protection and sustainable development of P. grandiflorum resources.

ObjectiveTo observe the clinical efficacy and relative mechanism of the Modified Wenshen Yixin Formula （温肾益心方加减， MWYF） as an auxiliary treatment of coronary heart disease （CHD） complicated with hypothyroidism of spleen-kidney yang deficiency. MethodsA total of 135 CHD patients complicated with hypothyroidism and spleen-kidney yang deficiency were included and divided into control group （67 cases） and experimental group （68 cases） according to the patients' wishes of herbal medicine administration. The control group was given conventional western medicine， while the treatment group was additionally given MWYF， 1 dose per day； both groups were treated for 8 weeks. The traditional Chinese medicine （TCM） syndrome scores， angina scores， SF-36 scores， thyroid function indicators including thyroid stimulating hormone （TSH）， thyroxine （T4） and triiodothyronine （T3）， as well as serum cyclic adenosine monophosphate （cAMP）， cyclic guanosine monophosphate （cGMP）， monocyte chemoattractant ligand 2 （CCL2）， and tumor necrosis factor-related activator protein （CD40L） levels before and after treatment were compared between the two groups. The dosage and reduction and discontinuation rate of thyroid hormone preparations after treatment were compared between the two groups. The effectiveness regarding TCM syndrome and angina pectoris was evaluated， and the safety was assessed. ResultsBias was adjusted by matching on propensity score， and 102 cases were finally included in the statistical analysis， with 51 cases in each group. The total effective rate regarding TCM syndrome ［94.12% （48/51） versus 64.71% （33/51）］， the total effective rate regarding angina pectoris ［80.39% （41/51） versus 62.75% （32/51）］， and the reduction and discontinuation rate of thyroid hormone preparation ［39.21% （20/51） versus 5.88% （3/51）］ were significantly higher in the experimental group than those in the control group （P＜0.05 or P＜0.01）. After treatment， the total TCM syndrome score， individual scores of major symptoms ， the major symptoms score， the secondary symptoms score， angina pectoris score， and TSH level were significantly reduced （P＜0.01）， while all dimensions of SF-36 scores， T4， T3， and cAMP levels significantly increased in both groups （P＜0.05 or P＜0.01）. The dosage of thyroid hormone preparations and the levels of cGMP， CCL2， and CD40L in the experimental group significantly decreased after treatment （P＜0.01）. When compared between the two groups after treatment， the total TCM syndrome score， the major symptoms score， the scores of individual major symptom （chest tightness， chest pain， fear of cold， cold limbs， waist and kness soreness and weakness）， the secondary symptoms score， angina pectoris score， TSH， cGMP， CCL2， and CD40L levels of the experimental group were significantly lower than those of the control group （P＜0.05 or P＜0.01）， while all dimension scores of SF-36， T4， T3， and cAMP levels were significantly higher （P＜0.01）. A total of three adverse events occurred during treatment， none of which were judged to be related to the interventions of this study. ConclusionMWYF can significantly ameliorate the TCM syndrome， angina pectoris， quality of life and thyroid function in CHD patients complicated with hypothyroidism and spleen-kidney yang deficiency， and can promote the reduction and disconti-nuation of thyroid hormone preparations. The mechanism may be related to the regulation of cAMP/cGMP balance， the regulation of hypothalamic-pituitary-thyroid metabolic axis and the reduction of immune inflammation.

With the increasing incidence of diabetes mellitus in recent years， cardiomyopathy caused by diabetes mellitus has aroused wide concern and this disease is characterized by high insidiousness and high mortality. The early pathological changes of diabetic cardiomyopathy （DCM） are mitochondrial structural disorders and loss of myocardial metabolic flexibility. The turbulence of mitochondrial quality control （MQC） is a key mechanism leading to the accumulation of damaged mitochondria and loss of myocardial metabolic flexibility， which， together with elevated levels of oxidative stress and inflammation， trigger changes in myocardial structure and function. Qi deficiency and stagnation is caused by the loss of healthy Qi， and the dysfunction of Qi transformation results in the accumulation of pathogenic Qi， which further triggers injuries. According to the theory of traditional Chinese medicine （TCM）， DCM is rooted in Qi deficiency of the heart， spleen， and kidney. The dysfunction of Qi transformation leads to the generation and lingering of turbidity， stasis， and toxin in the nutrient-blood and vessels， ultimately damaging the heart. Therefore， Qi deficiency and stagnation is the basic pathologic mechanism of DCM. Mitochondria， similar to Qi in substance and function， are one of the microscopic manifestations of Qi. The role of MQC is consistent with the defense function of Qi. In the case of MQC turbulence， mitochondrial structure and function are impaired. As a result， Qi deficiency gradually emerges and triggers pathological changes， which make it difficult to remove the stagnant pathogenic factor and aggravates the MQC turbulence. Ultimately， DCM occurs. Targeting MQC to treat DCM has become the focus of current research， and TCM has the advantages of acting on multiple targets and pathways. According to the pathogenesis of Qi deficiency and stagnation in DCM and the modern medical understanding of MQC， the treatment should follow the principles of invigorating healthy Qi， tonifying deficiency， and regulating Qi movement. This paper aims to provide ideas for formulating prescriptions and clinical references for the TCM treatment of DCM by targeting MQC.

Objective:We aimed to develop a novel visualized model based on nomogram to predict postoperative overall survival.Methods:This was a multicenter, retrospective, observational cohort study, including participants with histologically confirmed gastric and colorectal cancer who underwent radical surgery from 11 medical centers in China from August 1, 2015 to June 30, 2018. Baseline characteristics, histopathological data and nutritional status, as assessed using Nutrition Risk Screening 2002 (NRS 2002) score and the scored Patient-Generated Subjective Global Assessment, were collected. The least absolute shrinkage and selection operator regression and Cox regression were used to identify variables to be included in the predictive model. Internal and external validations were performed.Results:There were 681 and 127 patients in the training and validation cohorts, respectively. A total of 188 deaths were observed over a median follow-up period of 59 (range: 58 to 60) months. Two independent predictors of NRS 2002 and Tumor-Node-Metastasis (TNM) stage were identified and incorporated into the prediction nomogram model together with the factor of age. The model's concordance index for 1-, 3- and 5-year overall survival was 0.696, 0.724, and 0.738 in the training cohort and 0.801, 0.812, and 0.793 in the validation cohort, respectively.Conclusions:In this study, a new nomogram prediction model based on NRS 2002 score was developed and validated for predicting the overall postoperative survival of patients with gastric colorectal cancer. This model has good differentiation, calibration and clinical practicability in predicting the long-term survival rate of patients with gastrointestinal cancer after radical surgery.

Objective:To explore the influencing factors of hospitalization cost of acute myeloid leukemia, to group the cases based on decision tree model and to provide reference for improving the DRG management in this regard.Methods:Homepage data were retrieved from the medical records with acute myeloid leukemia as the main diagnosis (the top four ICD codes were C92.0, C92.4, C92.5, and C93.0). These patients were discharged from the clinical hematology department of the Fujian Institute of Hematology from January 2020 to December 2021. Then the influencing factors of hospitalization expenses were identified using Wilcoxon rank sum test or Kruskal-Wallis rank sum test and multiple linear stepwise regression analysis, with such factors used as classification nodes. The decision tree model of χ2 automatic interactive testing method was used to group the cases so included. At the same time, the included cases were grouped according to the trial run C-DRG version in Fujian province, for comparison of the differences between the two grouping methods. Results:The length of stay, the type of treatment, whether associated complications and age of patients were found as the influencing factors for the hospitalization costs of patients with acute myeloid leukemia, and such factors were included in the decision tree model to form 9 case mixes. The variance reduction of this model was 75.77%, featuring a high inter-group heterogeneity, and the coefficient of variation was 0.33-0.61, featuring a low in-group difference. The patients were divided into two groups according to the C-DRG version in Fujian province. The variance reduction of this method was 27.57%, featuring a low inter-group heterogeneity, and the coefficients of variation were 0.59 and 1.25, featuring high in-group difference.Conclusions:The cases of acute myeloid leukemia were grouped based on length of stay, type of treatment, whether accompanied by complications, and age proved reasonable enough to serve as reference for DRG management and cost control of this disease.

Objective To investigate the level of serum uric acid in patients with diabetes insipidus (DI),summarize the clinical characteristics of central diabetes insipidus (CDI) patients with hyperuricemia (HUA),and analyze the factors affecting the level of serum uric acid in the patients with CDI. Methods The clinical data of DI patients admitted to Peking Union Medical College Hospital from 2018 to 2021 were retrospectively analyzed.The patients were assigned into a child and adolescent group (≤ 18 years old) and an adult group (>18 years old) according to their ages.The demographic and biochemical data between two groups of patients with and without HUA were compared.Spearman correlation analysis and multiple linear regression analysis were performed to analyze the correlations between serum uric acid level and other factors. Results Among the 420 DI patients,411 patients had CDI (97.9%),including 189 patients with HUA (46.0%).Thirteen (6.9%) out of the 189 CDI patients with HUA presented the disappearance of thirst.The prevalence of HUA in children and adolescents was higher than that in adults (χ²=4.193,P=0.041).The level of serum uric acid in the CDI patients with HUA and disappearance of thirst was higher than those without disappearance of thirst (U=2.593,P=0.010).The multiple linear regression predicted serum creatinine (β=0.472,95%CI=2.451-4.381,P<0.001) and body mass index (β=0.387,95%CI=6.18-12.874,P<0.001) as the independent risk factors of serum uric acid level increment in children and adolescents,while serum creatinine (β=0.361,95%CI=1.016-1.785,P<0.001),body mass index (β=0.208,95%CI=2.321-6.702,P<0.001),triglyceride (β=0.268,95%CI=12.936-28.840,P<0.001),and total cholesterol (β=0.129,95%CI=2.708-22.250,P=0.013) were the independent risk factors in adults. Conclusions The patients with CDI were more likely to have HUA,and the prevalence of HUA in children and adolescents was higher than that in adults.Body mass index,serum creatinine,triglyceride,total cholesterol,and disappearance of thirst were the risk factors for the increased level of serum uric acid in CDI patients.
Adolescent ; Adult ; Child ; Humans ; Uric Acid ; Creatinine ; Retrospective Studies ; Diabetes Insipidus ; Hyperuricemia ; Triglycerides ; Cholesterol ; Diabetes Mellitus

OBJECTIVE: To explore the predictive value of serum sodium variability within 72 hours, lactic acid (Lac), sequential organ failure assessment (SOFA) and acute physiology and chronic health evaluation II (APACHE II) in predicting the 28-day prognosis of sepsis patients. METHODS: The clinical data of patients with sepsis admitted to the department of intensive care unit (ICU) of the Affiliated Qingdao Municipal Hospital of Qingdao University from December 2020 to December 2021 were retrospectively analyzed, including age, gender, previous medical history, temperature, heart rate, respiratory rate, systolic pressure, diastolic pressure, white blood cell count (WBC), hemoglobin (Hb), platelet count (PLT), C-reactive protein (CRP), pH value, arterial partial pressure of oxygen (PaO₂), arterial partial pressure of carbon dioxide (PaCO₂), Lac, prothrombin time (PT), activated partial thromboplastin time (APTT), serum creatinine (SCr), total bilirubin (TBil), albumin (Alb), SOFA, APACHE II score, and 28-day prognosis. Multivariate Logistic regression was used to analyze the risk factors of death in sepsis patients. Receiver operator characteristic curve (ROC curve) was used to analyze the predictive value of serum sodium variability within 72 hours, Lac, SOFA, APACHE II alone and in combination on the prognosis of patients with sepsis. RESULTS: A total of 135 patients with sepsis were included, 73 survived and 62 died at 28 days, with 28-day mortality of 45.93%. (1) Compared with the survival group, SOFA, APACHE II, Lac and serum sodium variability within 72 hours in the death group were significantly higher [SOFA: 10.00 (8.00, 12.00) vs. 6.00 (5.00, 8.00), APACHE II: 18.00 (16.00, 21.25) vs. 13.00 (11.00, 15.00), Lac (mmol/L): 3.55 (2.90, 4.60) vs. 2.00 (1.30, 2.80), serum sodium variability within 72 hours: 3.4% (2.6%, 4.2%) vs. 1.4% (1.1%, 2.5%)], the differences were statistically significant (all P < 0.01). (2) Multivariate Logistic regression showed that SOFA, APACHE II, Lac, serum sodium variability within 72 hours were independent risk factors of prognosis in patients with sepsis [SOFA: odds ratio (OR) = 1.479, 95% confidence interval (95%CI) was 1.114-1.963, P = 0.007; APACHE II: OR = 1.163, 95%CI was 1.009-1.340, P = 0.037; Lac: OR = 1.387, 95%CI was 1.014-1.896, P = 0.040; serum sodium variability within 72 hours: OR = 1.634, 95%CI was 1.102-2.423, P = 0.015]. (3) ROC curve analysis showed that SOFA, APACHE II, Lac and serum sodium variability within 72 hours had certain predictive value for the prognosis of sepsis patients [SOFA: the area under the ROC curve (AUC) = 0.858, 95%CI was 0.795-0.920, P = 0.000; APACHE II: AUC = 0.845, 95%CI was 0.776-0.913, P = 0.000; Lac: AUC = 0.840, 95%CI was 0.770-0.909, P = 0.000; serum sodium variability within 72 hours: AUC = 0.842, 95%CI was 0.774-0.910, P = 0.000]. The combined predictive value of the four indicators (AUC = 0.917, 95%CI was 0.870-0.965, P = 0.000) was higher than that of any single indicator, and has higher specificity (79.5%) and sensitivity (93.5%), indicating that the combined index has higher predictive value for the prognosis of sepsis patients than any single index. CONCLUSIONS SOFA, APACHE II, Lac, serum sodium variability within 72 hours are independent risk factors for 28-day death in patients with sepsis. The combination of SOFA score, APACHE II score, Lac and serum sodium variability within 72 hours has higher predictive value for prognosis than single index.
Humans ; Lactic Acid ; Prognosis ; Retrospective Studies ; Sepsis ; Sodium