The traditional detection methods for monitoring the biomass,protein,chlorophyll content and other key indicators in the growth of chlorella have some problems,including complicated operation,slow detection speed and difficult large-scale application.In this study,a fast and efficient monitoring method for the key indicators in the growth of chlorella was established using near infrared spectroscopy and chemometrics.Near-infrared spectroscopy was used to collect near-infrared spectra of chlorella algal fluid at different growth stages,and standard methods were used to detect the biomass,protein and chlorophyll contents of corresponding samples.A quantitative analysis model was established based on partial least squares regression(PLSR).To improve the prediction ability of the model,multiplicative scatter correction(MSC)was used to reduce the interference of scattering on the raw spectrum(RS),standard normal variate(SNV)was used to normalize the original spectral data to eliminate differences between samples,continuous wavelet transform(CWT)was used to obtain the key features of spectral data,the first derivative(1st)was used to enhance the differentiation of the original spectral features,and monte carlo-uninformative variable elimination(MC-UVE)and randomization test(RT)were used to screen the valid variables in the wavelength.By evaluating the prediction ability of different models,the quantitative analysis models of chlorella biomass,protein and chlorophyll content were finally determined.The results showed that the model based on 1st combined with RT spectra had better predictive ability for chlorella nutrient content detection,and the root mean square errors of prediction(RMSEP)and coefficients of determination(R2)were 0.041 and 0.933 for biomass,0.012 and 0.973 for protein,and 0.517 and 0.962 for chlorophyll,respectively.This model showed practical application value,and could realize the rapid and accurate detection of chlorella biomass,protein and chlorophyll content at the same time.

This study applied the grading of recommendations assessment, development and evaluation(GRADE) system and the integrated evidence chain-based effectiveness evaluation of traditional Chinese medicine(Eff-iEC) to evaluate the evidence for 12 commonly used Chinese patent medicines for the treatment of osteoporosis, which are frequently recommended in guidelines or expert consensuses. The results showed that Xianling Gubao Capsules/Tablets were rated as C(low-level evidence) according to the GRADE system, and as BA~+B~+(intermediate evidence) according to the Eff-iEC system. Jintiange Capsules were rated as C(low-level evidence) by the GRADE system, and as AA~+B(high-level evidence) by the Eff-iEC system. Gushukang Granules/Capsules were rated as C(low-level evidence) by GRADE system, and as BA~+B~+(intermediate evidence) by Eff-iEC system. Zuogui Pills were rated as C(low-level evidence) by GRADE system, and as AA~(++)B~+(high-level evidence) by Eff-iEC system. Qianggu Capsules were rated as D(extremely low-level evidence) by GRADE system, and as AA~+B~+(high-level evidence) by Eff-iEC system. Zhuanggu Zhitong Capsules were rated as D(extremely low-level evidence) by GRADE system, and as BA~+B(intermediate evidence) by Eff-iEC system. Jingui Shenqi Pills were rated as D(extremely low-level evidence) by GRADE system, and as AA~+B(high-level evidence) by Eff-iEC system. Quanduzhong Capsules were rated as D(extremely low-level evidence) by GRADE system, and as AD~+B~+(low-level evidence) by Eff-iEC system. Epimedium Total Flavones Capsules were rated as D(extremely low-level evidence) by GRADE system, and as AAB~+(high-level evidence) by Eff-iEC system. Yougui Pills were rated as D(extremely low-level evidence) by GRADE system, and as AA~(++)B~(+ )(high-level evidence) by Eff-iEC system. Qigu Capsules were rated as D(extremely low-level evidence) by GRADE system, and as BB~+B(intermediate evidence) by Eff-iEC system. Liuwei Dihuang Pills were rated as C(low-level evidence) by GRADE system, and as AA~(++)B~+(high-level evidence) by Eff-iEC system. Overall, the Eff-iEC system provides a more comprehensive assessment of the effectiveness evidence for traditional Chinese medicine(TCM) than the GRADE system. However, it still has certain limitations that hinder its wider promotion and application. In terms of clinical evidence evaluation, both the Eff-iEC and GRADE systems reflect that the current clinical research quality on Chinese patent medicines for the treatment of osteoporosis is generally low. High-quality clinical trials are still needed in the future to further validate clinical efficacy.
Drugs, Chinese Herbal/therapeutic use* ; Osteoporosis/drug therapy* ; Humans ; Nonprescription Drugs/therapeutic use* ; Evidence-Based Medicine ; Medicine, Chinese Traditional

Objective:To explore the association between circadian syndrome (CircS), metabolic syndrome (MetS) and mild cognitive impairment (MCI) in elderly rural adults in China.Methods:From March to September 2018, totally 5 765 participants aged 60 years or older from 52 villages in Yanlou Town, Yanggu County, Shandong Province were selected. The data included demographic, underlying disease and neuropsychological data were collected by questionaire survey. Having ≥3 of the following components was defined as MetS: elevated waist circumference, high triglycerides, low high-density lipoprotein cholesterol, elevated blood pressure and elevated fasting glucose. Having ≥4 of the following components was defined as CircS: short sleep (<6 h/d), depression and five other components which were used to define MetS, with elevated waist circumference as a mandatory item. MCI was diagnosed according to Petersen's criteria and further classified into amnestic MCI (aMCI) and non-amnestic MCI (naMCI) based on whether the memory domains impaired.Data were analyzed using multivariable Logistic regression and general linear regression models by R statistical software.Results:In the total sample ( n=4 898), 1 280 participants were diagnosed with MCI, of which 1 075 were aMCI and 205 were naMCI.Compared to the normal group, CircS alone was significantly associated with increased risks of MCI ( B=0.695, P=0.039) and aMCI ( B=0.782, P=0.024), as well as lower verbal fluency scores ( B=-0.244, P=0.045). No significant associations were found between MetS alone or both MetS and CircS and cognitive impairment( P>0.05). At the component level, short sleep and depression were associated with increased risks of MCI ( B=0.167, P=0.025; B=0.605, P<0.001) and aMCI ( B=0.185, P=0.020; B=0.600, P<0.001). Conclusion:Individuals with CircS are at a higher risk of cognitive impairment, CircS is more strongly associated with cognitive impairment than MetS, with short sleep duration and depressive symptoms potentially playing key roles.

OBJECTIVE: Diabetes-induced gastrointestinal (GI) motility disorders are increasingly prevalent. Damage to the enteric nervous system (ENS), composed primarily of enteric neurons and glial cells, is an essential mechanism involved in these disorders. Although electroacupuncture (EA) has shown the potential to mitigate enteric neuronal loss, its mechanism is not fully understood. Additionally, the effects of EA on enteric glial cells have not been investigated. Enteric neural precursor cells (ENPCs) contribute to the structural and functional integrity of the ENS, yet whether EA enhances their differentiation into enteric neurons and glial cells remains unexplored. This study investigates whether EA promotes ENS repair through enhancing ENPC-derived neurogenesis and gliogenesis and elucidates the potential molecular mechanisms involved. METHODS: Transgenic mice were used to trace Nestin⁺/nerve growth factor receptor (Ngfr)⁺ ENPCs labeled with green fluorescent protein (GFP) in vivo. Mice were randomly divided into four groups: control, diabetes mellitus (DM), DM + sham EA, and DM + EA. The effects of EA on diabetic mice were evaluated by GI motility, ENS structure, and ENPC differentiation. Glial cell line-derived neurotrophic factor (GDNF)/Ret signaling was detected to clarify the underlying molecular mechanisms. RESULTS: EA alleviated diabetes-induced GI motility disorders, as indicated by reduced whole gut transit time, shortened colonic bead expulsion time, and enhanced smooth muscle contractility. Furthermore, EA attenuated diabetes-induced losses of enteric neurons and glial cells, thereby restoring ENS integrity. Notably, EA reversed the diabetes-induced decrease in ENPCs and significantly increased the absolute number and the proportion of ENPC-derived enteric neurons. However, immunofluorescence analyses revealed no colocalization between EA-induced glial fibrillary acidic protein⁺ glial cells and GFP-labeled ENPCs. Mechanistically, GDNF/Ret signaling was elevated in intestinal tissues and upregulated in ENPCs in EA-treated diabetic mice. CONCLUSION EA facilitates ENS repair by promoting Nestin⁺/Ngfr⁺ ENPC differentiation into enteric neurons via upregulation of GDNF/Ret signaling, and driving enteric gliogenesis from non-Nestin⁺/Ngfr⁺ ENPCs. These findings highlight EA's role in ameliorating diabetes-induced GI dysmotility through ENPC-derived ENS restoration. Please cite this article as: Guo JL, Liu S, Ding SJ, Yang X, Du F. Electroacupuncture at ST36 improves gastrointestinal motility disorders by promoting enteric nervous system regeneration through GDNF/Ret signaling in diabetic mice. J Integr Med. 2025; 23(5):548-559.
Animals ; Electroacupuncture ; Enteric Nervous System/physiology* ; Gastrointestinal Motility/physiology* ; Glial Cell Line-Derived Neurotrophic Factor/metabolism* ; Diabetes Mellitus, Experimental/therapy* ; Signal Transduction ; Mice ; Gastrointestinal Diseases/physiopathology* ; Proto-Oncogene Proteins c-ret/metabolism* ; Mice, Transgenic ; Male ; Nerve Regeneration ; Neural Stem Cells ; Mice, Inbred C57BL ; Acupuncture Points

Isoflavones which mainly distributed in leguminous plants have plenty of health benefits.Isoflavone synthase(IFS)is a membrane-associated cytochrome P450 enzyme(CYP450)which carries out the unique aryl-ring migration and hydroxylation.So far,few crystal structures of plant P450s have been obtained.We determined the crystal structure of IFS from Medicago truncatula at 1.9 ? by MAD method using a selenomethionine substituted crystal and conducted molecular docking and mutagenesis study.The structure of IFS complexed with imidazole exhibits the helix Ⅰa-loop-helix Ⅰβ motif which cor-responds to helix Ⅰ of other P450s.Compared with structures of common P450s,IFS/imidazole structure contains an extra domain,i.e.,the γ-domain.The structure reveals a homodimer in which the γ-domain of one molecule interacts with the β-domain of another.The plane of heme group makes an angle of ap-proximately 40° with the helix Ⅰa-loop-helix Ⅰβ motif.Molecular docking combined with mutagenesis study suggested that Trp-128 and Asp-300 might play important roles in substrate binding and recogni-tion.Phe-301,Ser-303 and Gly-305 from the helix Ⅰa-loop-helix Ⅰβ motif may play important roles in the aryl-ring migration.These novel structural features reveal insights into the unique reaction mechanism of IFS and provide a basis for engineering IFS in leguminous crops for health purpose.

Objective To propose a dynamic electrical impedance tomography imaging algorithm based on complementary information fusion network(CIFN)to enhance image quality of dynamic electrical impedance imaging.Methods There were three modules for initialization,multi-frame complementary information extraction and information fusion involved in the CIFN.Firstly,multi-frame dynamic conductivity distribution images were obtained by the initialization module;secondly,spatial complementary information was extracted from the images by using the multi-frame complementary information extraction module;finally,the fusion of lesion target distribution information and target re-reconstruction were realized by the information fusion module to aquire high-quality EIT images.With a 16-electrode multilayer cranial simulation model,the CIFN-based imaging method was compared with Tikhonov regularization algorithm,spectral constraint algorithm and U-Net algorithm in terms of imaging results of types of lesions to verify its performance.Results Compared with the Tikhonov regularization algorithm,spectral constraint algorithm and U-Net algorithm,the proposed CIFN-based algorithm exhibited the lowest mean absolute error(MAE)and the highest structural similarity(SSIM)when used to image different lesion targets,which accurately reconstructed the distribution of lesion targets and gained high imaging stability under common noise levels.Conclusion The proposed CIFN-based imaging algorithm obtains high imaging quality on a cranial simulation model and reconstruction results close to the real model distribution,which provides algorithmic support for subsequent clinical studies on electrical impedance imaging.[Chinese Medical Equipment Journal,2025,46(6):1-6]

To evaluate the immunogenicity and immunoprotective effects of a tRNA thiouridylase TgMnmA deletion strain of Toxoplasma gondii(T.gondii)on ICR mice,we constructed a mouse model immunized with RH△MnmA.Mice were immunized with 10 RH△MnmA tachyzoites by in-traperitoneal injection.After 30 d,indirect ELISA was used to detect the specific IgG antibody and its subtypes of immunized mice.Spleen lymphocyte suspension was prepared,and the splenic lym-phocyte subsets were analyzed by flow cytometry.Moreover,the relative expression level of cyto-kine mRNA was detected by real-time fluorescence quantitative PCR.After 30 d of immunization,mice were intraperitoneally inoculated with RH△ku80 tachyzoites.At 5 d post infection,the para-site load in the ascites,heart,liver and brain of mice was measured,and the survival of mice within 30 d after infection was observed and recorded.The results showed that compared with the control PBS group,RH△MnmA immunized group produced higher level of IgG and IgG2a antibodies,higher mRNA relative expression level of cytokines IL-2,IL-4,IL-6,IL-10,IL-12 and IFN-γ,and the number of CD4+and CD8a+in spleen lymphocytes also increased significantly.Mean-while,for the attack of RH△ku80 strain,the immune group can effectively reduce the parasite load in the ascites and some tissues,inhibit the reproduction of parasites In vivo,and significantly improve the survival rate of mice.The results of this study showed that the TgMnmA deletion strain of T.gondii can induce strong humoral and cellular immune responses in mice,and provide good immune protection against the infection of RHΔku80 strain,which has the potential to be-come a potentially promising live attenuated vaccine candidate against T.gondii.

Objective To examine the phenotypic characteristics of Ecto-5'-nucleotidase(NtSe/CD73)gene knockout mice in restenosis of blood vessels after vein transplantation so as to identify potential targets for early diagnosis and drug treatment of vascular restenosis after clinical coronary artery bypass surgery.Methods CD73 gene knockout mice aged 8-10 weeks were used as the experimental group,and the littermate wild-type mice were used as the control group.Using the inferior vena cava of mice as a donor,we transplanted to the right carotid artery of allogeneic mice with a trocar method to establish a mouse inferior vena cava carotid artery vascular transplantation model.At the 4th week post-model establishment,we systematically evaluated the patency of the transplanted blood vessels,the formation of the vascular intima,the proliferation of the media,the morphology of the elastin layer,and the expression of inflammatory factors.The vascular smooth muscle cells(VSMCs)from the inferior vena cava of mice were isolated in vitro,and the migration and proliferation were assessed with CD73 inhibitor adenosine 5'-(alpha,beta-methylene)diphosphate(APCP).Results In CD73 knockout mice,neointima formation was impaired,the elastic fiber layer was disrupted and lost,and medial smooth muscle cells proliferated more actively.These changes ultimately led to decreased vascular wall elasticity and increased blood flow resistance.The immunohistochemical staining results suggest that in CD73 gene knockout mice the transplanted vein tissue showed extensive infiltration of Mac-2 positive macrophages,and the expression of cytokines interleukin-1 β(IL-1 β),IL-6,and transforming growth factor β(TGF-β)was significantly increased.CD73 deficiency exacerbated inflammatory responses and vascular remodeling in venous tissues.Scratch wound healing and cell proliferation assays revealed that CD73 inhibition promoted VSMCs proliferation,yet concurrently impaired their migratory capacity.Conclusion Knockout of the CD73 gene exacerbates vascular remodeling and inflammatory response in vein grafts,offering crucial insights for the precise diagnosis and targeted treatment of patients with CD73 gene defects undergoing coronary artery bypass surgery in clinical practice.

Objective:To explore the association between circadian syndrome (CircS), metabolic syndrome (MetS) and mild cognitive impairment (MCI) in elderly rural adults in China.Methods:From March to September 2018, totally 5 765 participants aged 60 years or older from 52 villages in Yanlou Town, Yanggu County, Shandong Province were selected. The data included demographic, underlying disease and neuropsychological data were collected by questionaire survey. Having ≥3 of the following components was defined as MetS: elevated waist circumference, high triglycerides, low high-density lipoprotein cholesterol, elevated blood pressure and elevated fasting glucose. Having ≥4 of the following components was defined as CircS: short sleep (<6 h/d), depression and five other components which were used to define MetS, with elevated waist circumference as a mandatory item. MCI was diagnosed according to Petersen's criteria and further classified into amnestic MCI (aMCI) and non-amnestic MCI (naMCI) based on whether the memory domains impaired.Data were analyzed using multivariable Logistic regression and general linear regression models by R statistical software.Results:In the total sample ( n=4 898), 1 280 participants were diagnosed with MCI, of which 1 075 were aMCI and 205 were naMCI.Compared to the normal group, CircS alone was significantly associated with increased risks of MCI ( B=0.695, P=0.039) and aMCI ( B=0.782, P=0.024), as well as lower verbal fluency scores ( B=-0.244, P=0.045). No significant associations were found between MetS alone or both MetS and CircS and cognitive impairment( P>0.05). At the component level, short sleep and depression were associated with increased risks of MCI ( B=0.167, P=0.025; B=0.605, P<0.001) and aMCI ( B=0.185, P=0.020; B=0.600, P<0.001). Conclusion:Individuals with CircS are at a higher risk of cognitive impairment, CircS is more strongly associated with cognitive impairment than MetS, with short sleep duration and depressive symptoms potentially playing key roles.

Objective To propose a dynamic electrical impedance tomography imaging algorithm based on complementary information fusion network(CIFN)to enhance image quality of dynamic electrical impedance imaging.Methods There were three modules for initialization,multi-frame complementary information extraction and information fusion involved in the CIFN.Firstly,multi-frame dynamic conductivity distribution images were obtained by the initialization module;secondly,spatial complementary information was extracted from the images by using the multi-frame complementary information extraction module;finally,the fusion of lesion target distribution information and target re-reconstruction were realized by the information fusion module to aquire high-quality EIT images.With a 16-electrode multilayer cranial simulation model,the CIFN-based imaging method was compared with Tikhonov regularization algorithm,spectral constraint algorithm and U-Net algorithm in terms of imaging results of types of lesions to verify its performance.Results Compared with the Tikhonov regularization algorithm,spectral constraint algorithm and U-Net algorithm,the proposed CIFN-based algorithm exhibited the lowest mean absolute error(MAE)and the highest structural similarity(SSIM)when used to image different lesion targets,which accurately reconstructed the distribution of lesion targets and gained high imaging stability under common noise levels.Conclusion The proposed CIFN-based imaging algorithm obtains high imaging quality on a cranial simulation model and reconstruction results close to the real model distribution,which provides algorithmic support for subsequent clinical studies on electrical impedance imaging.[Chinese Medical Equipment Journal,2025,46(6):1-6]