Shengyutang is a famous classical formula of tonic， which is made from Siwutang with Ginseng Radix et Rhizoma and Astragali Radix. It is included in the Catalogue of Ancient Famous Classical Formulas（The First Batch）. Based on the Principles of Key Information Research of Ancient Famous Classical Formulas， this paper used bibliometrics to sort out and research the key information of Shengyutang in the aspects of history， composition， origin and processing， dosage， decocting method， efficacy and indications. After research， it has been found that this formula was first recorded in Lanshi Micang written by LI Dongyuan during the Jin dynasty， composed of Rehmanniae Radix， Rehmanniae Radix Praeparata， Chuanxiong Rhizoma， Ginseng Radix et Rhizoma， Astragali Radix and Angelicae Sinensis taproot. The name of the formula passed down through generations was relatively unified， with clear origins and veins. In later generations， this formula was the mainstream， and adjustments were made to the dosage and composition according to the indication. In the formula， Astragalus membranaceus var. mongholicus was selected as the origin of Astragali Radix， and the origins of other medicinal materials were consistent with the 2020 edition of Chinese Pharmacopoeia. Except for Rehmanniae Radix Praeparata， the other medicinal materials were made from raw products， and the dosage form was boiled powder. According to the measurement standard in the Jin dynasty， the recommended usage and dosage were 1.24 g of Rehmanniae Radix， Rehmanniae Radix Praeparata， Chuanxiong Rhizoma， Ginseng Radix et Rhizoma each， 2.07 g of Astragali Radix and Angelicae Sinensis taproot each， crushed into coarse particles that pass through the 4 mesh sieve but can't pass through the 10 mesh sieve， added 1 200 mL of water and boiled to 300 mL， and removed the residue. Shengyutang has the functions of tonifying Qi and blood， and blood intake， treating various sores， and restlessness and insomnia caused by excessive blood flow. In ancient times， this formula was widely used in the treatment of surgical sores， gynecological diseases， deficiency syndrome， etc. In modern clinical practice， it is mostly used to treat gynecological， neurological， musculoskeletal， hematological diseases caused by Qi and blood deficiency. In this paper， the key information of Shengyutang was researched by reviewing relevant ancient literature， in order to provide reference for the modern application and development of this formula.

Acute lung injury (ALI) has been a kind of acute and severe disease that is mainly characterized by systemic uncontrolled inflammatory response to the production of huge amounts of reactive oxygen species (ROS) in the lung tissue. Given the critical role of ROS in ALI, a Fe₃O₄ loaded bovine serum albumin (BSA) nanocluster (BF) was developed to act as a nanomedicine for the treatment of ALI. Combining with NIR irradiation, it exhibited excellent ROS scavenging capacity. Significantly, it also displayed the excellent antioxidant and anti-inflammatory functions for lipopolysaccharides (LPS) induced macrophages (RAW264.7), and Sprague Dawley rats via lowering intracellular ROS levels, reducing inflammatory factors expression levels, inducing macrophage M2 polarization, inhibiting NF-κB signaling pathway, increasing CD4⁺/CD8⁺ T cell ratios, as well as upregulating HSP70 and CD31 expression levels to reprogram redox homeostasis, reduce systemic inflammation, activate immunoregulation, and accelerate lung tissue repair, finally achieving the synergistic enhancement of ALI immunotherapy. It finally provides an effective therapeutic strategy of BF + NIR for the management of inflammation related diseases.

Stroke, a major cerebrovascular disease, has high morbidity and mortality. Effective methods to reduce the risk and improve the prognosis are lacking. Currently, uric acid (UA) is associated with the pathological mechanism, prognosis, and therapy of stroke. UA plays pro/anti-oxidative and pro-inflammatory roles in vivo. The specific role of UA in stroke, which may have both neuroprotective and damaging effects, remains unclear. There is a U-shaped association between serum uric acid (SUA) levels and ischemic stroke (IS). UA therapy provides neuroprotection during reperfusion therapy for acute ischemic stroke (AIS). Urate-lowering therapy (ULT) plays a protective role in IS with hyperuricemia or gout. SUA levels are associated with the cerebrovascular injury mechanism, risk, and outcomes of hemorrhagic stroke. In this review, we summarize the current research on the role of UA in stroke, providing potential targets for its prediction and treatment.
Humans ; Uric Acid/metabolism* ; Stroke/drug therapy* ; Animals ; Hyperuricemia/drug therapy* ; Ischemic Stroke/blood* ; Biomarkers/blood*

Previous studies have found associations between color discrimination deficits and cognitive impairments besides aging. However, investigations into the microstructural pathology of brain white matter (WM) associated with these deficits remain limited. This study aimed to examine the microstructural characteristics of WM in the non-demented population with abnormal color discrimination, utilizing Neurite Orientation Dispersion and Density Imaging (NODDI), and to explore their correlations with cognitive functions and cognition-related plasma biomarkers. The tract-based spatial statistic analysis revealed significant differences in specific brain regions between the abnormal color discrimination group and the healthy controls, characterized by increased isotropic volume fraction and decreased neurite density index and orientation dispersion index. Further analysis of region-of-interest parameters revealed that the isotropic volume fraction in the bilateral anterior thalamic radiation, superior longitudinal fasciculus, cingulum, and forceps minor was significantly correlated with poorer performance on neuropsychological assessments and to varying degrees various cognition-related plasma biomarkers. These findings provide neuroimaging evidence that WM microstructural abnormalities in non-demented individuals with abnormal color discrimination are associated with cognitive dysfunction, potentially serving as early markers for cognitive decline.
Humans ; White Matter/pathology* ; Male ; Female ; Cognitive Dysfunction/physiopathology* ; Middle Aged ; Aged ; Color Perception/physiology* ; Brain/pathology* ; Neuropsychological Tests ; Diffusion Tensor Imaging

One of the basic questions in the aging field is whether there is a fundamental difference between the aging of lower invertebrates and mammals. A major difference between the lower invertebrates and mammals is the abundancy of noncoding RNAs, most of which are not conserved. We have previously identified a noncoding RNA Terc-53 that is derived from the RNA component of telomerase Terc. To study its physiological functions, we generated two transgenic mouse models overexpressing the RNA in wild-type and early-aging Terc-/- backgrounds. Terc-53 mice showed age-related cognition decline and shortened life span, even though no developmental defects or physiological abnormality at an early age was observed, indicating its involvement in normal aging of mammals. Subsequent mechanistic study identified hyaluronan-mediated motility receptor (Hmmr) as the main effector of Terc-53. Terc-53 mediates the degradation of Hmmr, leading to an increase of inflammation in the affected tissues, accelerating organismal aging. adeno-associated virus delivered supplementation of Hmmr in the hippocampus reversed the cognition decline in Terc-53 transgenic mice. Neither Terc-53 nor Hmmr has homologs in C. elegans. Neither do arthropods express hyaluronan. These findings demonstrate the complexity of aging in mammals and open new paths for exploring noncoding RNA and Hmmr as means of treating age-related physical debilities and improving healthspan.
Animals ; Mice ; RNA, Untranslated/metabolism* ; Aging/genetics* ; Mice, Transgenic ; Telomerase/metabolism* ; RNA/genetics* ; Hippocampus/metabolism* ; Humans ; Mice, Inbred C57BL

This research study focuses on addressing the limitations of current neuropathic pain (NP) treatments by developing a novel dual-target modulator, E0199, targeting both Na_V1.7, Na_V1.8, and Na_V1.9 and K_V7 channels, a crucial regulator in controlling NP symptoms. The objective of the study was to synthesize a compound capable of modulating these channels to alleviate NP. Through an experimental design involving both in vitro and in vivo methods, E0199 was tested for its efficacy on ion channels and its therapeutic potential in a chronic constriction injury (CCI) mouse model. The results demonstrated that E0199 significantly inhibited Na_V1.7, Na_V1.8, and Na_V1.9 channels with a particularly low half maximal inhibitory concentration (IC₅₀) for Na_V1.9 by promoting sodium channel inactivation, and also effectively increased K_V7.2/7.3, K_V7.2, and K_V7.5 channels, excluding K_V7.1 by promoting potassium channel activation. This dual action significantly reduced the excitability of dorsal root ganglion neurons and alleviated pain hypersensitivity in mice at low doses, indicating a potent analgesic effect without affecting heart and skeletal muscle ion channels critically. The safety of E0199 was supported by neurobehavioral evaluations. Conclusively, E0199 represents a ground-breaking approach in NP treatment, showcasing the potential of dual-target small-molecule compounds in providing a more effective and safe therapeutic option for NP. This study introduces a promising direction for the future development of NP therapeutics.

Objective:To establish a quantitative diagnostic standard for Crohn's disease with dampness syndrome based on clinical data using a disease syndrome combination model and conduct bidirectional validation.Methods:256 patients with Crohn's disease from the Department of Spleen and Stomach Diseases at Guangdong Provincial Hospital of Chinese Medicine, the Department of Gastroenterology at the Sixth Affiliated Hospital of Sun Yat-sen University, and the Outpatient Department of Guangdong Provincial Hospital of Chinese Medicine from October 2021 to January 2022 were selected as the observation objects. They were divided into an operation group of 205 patients and a verification group of 51 patients in an 8:2 ratio using a random number table method. The frequency advantage method, χ2 test, and binary logistic regression analysis were used to screen for relevant standard factors. The conditional probability method was used to assign scores to relevant items, and the maximum likelihood method was used to determine the quantitative diagnostic threshold. A quantitative diagnostic standard for Crohn's disease with dampness syndrome based on disease syndrome combination was established, and it was retrospectively analyzed and prospectively verified. Results:On the basis of the 20 candidate quantitative diagnostic criteria items for Crohn's disease dampness syndrome, binary logistic regression analysis was performed to calculate the OR values between each item. The quantitative diagnostic criteria for Crohn's disease with dampness syndrome included tongue coating greasiness (7 points), body heaviness (13 points), waist and knee soreness (8 points), head weight (9 points), bland mouth (6 points), anal heaviness (8 points), uncomfortable bowel movements (8 points), and sticky stools (7 points), with a quantitative diagnostic threshold of 11. Conclusion:The scoring of relevant items in the quantitative diagnostic criteria for Crohn's disease with dampness syndrome is reasonable and has good diagnostic value, which can provide reference for further quantitative research on Crohn's disease syndromes.

Addressing the challenge of traditional physical/semi physical simulation methods being difficult to achieve full process and full element simulation of extravehicular activities,virtual reality technology is utilized to break through the limitations of physical environments and establish a virtual reality simulation system for extravehicular activities.Based on the application characteristics of space station extravehicular activity engineering,with the goal of improving system practicality and usability,integrating the visual immersion of virtual images,the ontology of real operation,and the consistency of virtual and real space perception,a three-dimensional scene simulation,multi-mode joystick interaction paradigm,continuous operation actions simulation of extravehicular operations,and interactive operation virtual/real space consistency method that were proposed and designed for the realistic visual perception and extravehicular operation.The system has been successfully applied to astronaut training,program validation,joint exercise,and flight control support for sixteen extravehicular activities from SZ-12 to SZ-18.The results showed that the complete reproduction of the static/dynamic realistic comprehensive scene was achieved on the ground for the human-machine operation in the entire process of extravehicular activity,and the system is an essential and important means of ground simulation for extravehicular activity.

ObjectiveTo explore the possible mechanism of Osteoking （OK） on postmenopausal osteoporosis （PMOP）. MethodForty adult female mice were randomly divided into a sham operation （Sham） group， osteoporosis model （OVX） group， estradiol intervention （E₂） group， and OK group， with 10 mice in each group. The modeling was completed by conventional back double incision ovariectomy， and the corresponding drugs were given one week later. After 12 weeks， the body mass and uterine index of mice were measured， and the pathological changes of bone tissue and the number of osteoclasts （OCs） were determined by hematoxylin-eosin （HE） and tartrate-resistant acid phosphatase （TRAP） staining， respectively. Bone mineral density （BMD）， trabecular number （Tb.N）， trabecular separation （Tb.Sp）， and bone volume fraction （BV/TV） were measured by microcomputed tomography （Micro-CT）. The maximum load of the femur was detected by a three-point bending test. The contents of tumor necrosis factor-α （TNF-α） and bone resorption marker C-terminal telopeptide of type Ⅰ collagen （CTX-1） were measured by enzyme linked immunosorbent assay （ELISA）. The protein expression levels of nuclear factor-kappa B p65 （NF-κB p65）， phosphorylated nuclear factor-kappa B p65 （p-NF-κB p65）， nuclear factor kappa B inhibitor alpha （IκBα）， phosphorylated nuclear factor kappa B alpha （p-IκBα）， nuclear factor of activated T cells 1 （NFATc1）， and proto-oncogene （c-Fos） were detected by Western blot. The mRNA expressions of OCs-related specific genes matrix metalloproteinase-9 （MMP-9）， NFATc1， TRAP， cathepsin K （CTSK）， and c-Fos were detected by real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. ResultCompared with the Sham group， the uterine index decreased significantly in the OVX group， and the body mass （BMI） increased significantly. The structure of bone trabeculae was completely damaged， and the number of OCs increased. BMD， Tb.N， BV/TV， and maximum load decreased， while Tb.Sp was up-regulated. The levels of TNF-α and CTX-1 in serum were up-regulated. The protein expressions of c-Fos， p-NF-κB p65/NF-κB p65， NFATc1， and p-IκBα/IκBα were increased. The mRNA expressions of NFATc1， c-Fos， CTSK， TRAP， and MMP-9 were up-regulated （P<0.05， P<0.01）. Compared with the OVX group， the body mass of the OK and E₂ groups decreased， and the uterine index increased. The bone trabeculae increased， and the number of OCs decreased. BMD， Tb.N， BV/TV， and maximum load increased， while Tb.Sp decreased. The levels of TNF-α and CTX-1 in serum were decreased. The protein expressions of c-Fos， p-NF-κB p65/NF-κB p65， NFATc1， and p-IκBα/IκBα were decreased， and the mRNA expressions of NFATc1， c-Fos， CTSK， TRAP， and MMP-9 were decreased （P<0.05， P<0.01）. ConclusionOK can inhibit the NF-κB/NFATc1 signaling pathway and reduce bone mass loss by reducing the level of inflammatory injury factors in PMOP mice， which is one of the mechanisms for treating PMOP.

Objective To construct a machine learning prediction model for postoperative liver injury in patients with non-liver surgery based on preoperative and intraoperative medication indicators.Methods A case-control study was conducted on 315 patients with liver injury after non-liver surgery selected from the databases developed by 3 large general hospitals from January 2014 to September 2022.With the positive/negative ratio of 1 ∶3,928 cases in corresponding period with non-liver surgery and without liver injury were randomly matched as negative control cases.These 1243 patients were randomly divided into the modeling group(n=869)and the validation group(n=374)in a ratio of 7∶3 using the R language setting code.Preoperative clinical indicators(basic information,medical history,relevant scale score,surgical information and results of laboratory tests)and intraoperative medication were used to construct the prediction model for liver injury after non-liver surgery based on 4 machine learning algorithms,k-nearest neighbor(KNN),support vector machine linear(SVM),logic regression(LR)and extreme gradient boosting(XGBoost).In the validation group,receiver operating characteristic(ROC)curve,precision-recall curve(P-R),decision curve analysis(DCA)curve,Kappa value,sensitivity,specificity,Brier score,and F1 score were applied to evaluate the efficacy of model.Results The model established by 4 machine learning algorithms to predict postoperative liver injury after non-liver surgery was optimal using the XGBoost algorithm.The area under the receiver operating characteristic curve(AUROC)was 0.916(95%CI:0.883～0.949),area under the precision-recall curve(AUPRC)was 0.841,Brier score was 0.097,and sensitivity and specificity was 78.95%and 87.10%,respectively.Conclusion The postoperative liver injury prediction model for non-liver surgery based on the XGBoost algorithm has effective prediction for the occurrence of postoperative liver injury.