Moringa oleifera, widely utilized in Ayurvedic medicine, is recognized for its leaves, seeds, and velamen possessing traditional effects such as vātahara(wind alleviation), sirovirecaka(brain clearing), and hridya(mental nourishment). This study aims to identify the medicinal part of ■ in the Sārasvata ghee formulation as described in the Bower Manuscript, while investigating the ameliorative effects of different medicinal parts of M. oleifera on learning and memory deficits in mice and elucidating the underlying molecular mechanisms. A total of 144 male ICR mice were randomly assigned to the following groups: control, model(scopolamine hydrobromide, Sco, 2 mg·kg~(-1)), donepezil(donepezil hydrochloride, Don, 3 mg·kg~(-1)), M. oleifera leaf low-, medium-, and high-dose groups(0.5, 1, 2 g·kg~(-1)), M. oleifera seeds low-, medium-, and high-dose groups(0.25, 0.5, 1 g·kg~(-1)), and M. oleifera velamen low-, medium-, and high-dose groups(0.31, 0.62, 1.24 g·kg~(-1)). Learning and memory abilities were assessed using the passive avoidance test and Morris water maze. Nissl and HE staining were employed to examine histopathological changes in the hippocampus. Transcriptomics and targeted metabolomics were used to screen differential genes and metabolites, with MetaboAnalyst 6.0 and O2PLS methods applied to identify key disease-related targets and pathways. RESULTS:: demonstrated that M. oleifera leaf(1 g·kg~(-1)) significantly ameliorated Sco-induced learning and memory deficits, outperforming M. oleifera seeds(0.25 g·kg~(-1)) and M. oleifera velamen(1.24 g·kg~(-1)). This was evidenced by improved behavioral performance, reversal of neuronal damage, and reduced acetylcholinesterase(AChE) activity. Multi-omics analysis revealed that M. oleifera leaf upregulated Tuba1c gene expression through the synaptic vesicle cycle, enhancing glutamate(Glu), dopamine(DA), and acetylcholine(ACh) release via Tuba1c-Glu associations for neuroprotection. M. oleifera seeds targeted the dopaminergic synapse pathway, promoting memory consolidation through Drd2-ACh associations. M. oleifera velamen was associated with the cocaine addiction pathway, modulating dopamine metabolism via Adora2a-DOPAC, with limited relevance to learning and memory. In conclusion, M. oleifera leaf exhibits superior efficacy and mechanistic advantages over M. oleifera seeds and velamen, suggesting that the ■ in the Sārasvata ghee formulation is likely M. oleifera leaf, providing scientific evidence for its identification in ancient texts.
Animals ; Moringa oleifera/chemistry* ; Male ; Mice ; Seeds/chemistry* ; Plant Leaves/chemistry* ; Mice, Inbred ICR ; Memory Disorders/psychology* ; Transcriptome/drug effects* ; Memory/drug effects* ; Learning/drug effects* ; Metabolomics ; Humans ; Drugs, Chinese Herbal/administration & dosage* ; Maze Learning/drug effects*

A microchannel-based electrochemiluminescence(ECL)sensor was developed for detection of tetracycline(TC)utilizing luminol/H2O2 as ECL reporting system.The low excitation potential of luminol/H2O2 effectively mitigated the impact of clamping voltage,thereby enhancing the detection performance of the microchannel-based ECL sensor.The microchannel modified with TC aptamer selectively recognized and captured target TC.The positively charged TC reduced the surface charge density within the microchannel,thereby increasing the ionic current in the microchannel,leading to change of ECL signal of system.The experimental conditions such as electrolyte concentration,TC-aptamer concentration,and reaction time between TC and TC-aptamer were optimized.Under optimal conditions,the difference of ECL signal in the absence and presence of TC(?ECL)exhibited a good linear relationship with TC concentration in the range from 1.00 ng/mL to 200 ng/mL,with a detection limit as low as 0.69 ng/mL.The sensor had good selectivity and was successfully used in detection of TC in milk samples.

Objective To observe the efficacy and safety of Morinda officinalis oligosaccharides in the continuation treatment of mild and moderate depression.Methods An open,single-arm,multi-center design was adopted in our study.Adult patients with mild and moderate depression who had received acute treatment of Morinda officinalis oligosaccharides were enrolled and continue to receive Morinda officinalis oligosaccharides capsules for 24 weeks,the dose remained unchanged during continuation treatment.The remission rate,recurrence rate,recurrence time,and the change from baseline to endpoint of Hamilton Depression Scale(HAMD),Hamilton Anxiety Scale(HAMA),Clinical Global Impression-Severity(CGI-S)and Arizona Sexual Experience Scale(ASEX)were evaluated.The incidence of treatment-related adverse events was reported.Results The scores of HAMD-17 at baseline and after treatment were 6.60±1.87 and 5.85±4.18,scores of HAMA were 6.36±3.02 and 4.93±3.09,scores of CGI-S were 1.49±0.56 and 1.29±0.81,scores of ASEX were 15.92±4.72 and 15.57±5.26,with significant difference(P＜0.05).After continuation treatment,the remission rate was 54.59％(202 cases/370 cases),and the recurrence rate was 6.49％(24 cases/370 cases),the recurrence time was(64.67±42.47)days.The incidence of treatment-related adverse events was 15.35％(64 cases/417 cases).Conclusion Morinda officinalis oligosaccharides capsules can be effectively used for the continuation treatment of mild and moderate depression,and are well tolerated and safe.

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.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

OBJECTIVE: To investigate the expression and clinical significance of soluble interleukin-2 receptor(sIL-2R) in patients with multiple myeloma(MM). METHODS: 54 newly diagnosed MM patients in the Second Affiliated Hospital of Fujian Medical University from February 2020 to December 2021 were selected as the observation group, and 60 healthy people in our hospital in the same period were selected as the control group. The expression levels of sIL-2R in the serum of the two groups were detected by enzyme-linked immunosorbent assay. The differences of sIL-2R expression level among different clinical parameter groups in MM patients were compared. The clinical parameters include:gender, age, ISS stage, hemoglobin, albumin, serum creatinine, lactate dehydrogenase and β₂-microglobulin, blood calcium, bone marrow plasma cell ratio and treatment response. The relationship between sIL-2R expression level and progression-free survival(PFS) and overall survival(OS) in MM patients were analyzed. RESULTS: The expression of serum SIL-2R in MM patients was significantly higher than that in healthy control group (P<0.05). The expression of sIL-2R in MM patients who did not achieve complete remission(CR) was significantly higher than those of CR patients (P=0.037). There was no significant difference in the expression of serum sIL-2R between the groups of different sex, age, ISS stage, hemoglobin concentration, albumin content, serum creatinine level, lactate dehydrogenase level, the content of β₂-microglobulin, the concentration of blood calcium, and the proportion of bone marrow plasma cells(P>0.05). The PFS of sIL-2R high expression group(15 months) was shorter than that of sIL-2R low expression group (22 months), which was significant difference (P=0.041). But there was no significant difference in OS between sIL-2R high expression group and sIL-2R low expression group (P=0.124). Univariate analysis results showed that the high expression of serum sIL-2R was associated with poor PFS in MM patients. Multivariate analysis results showed that the high expression of serum sIL-2R was still an independent adverse prognostic factor for PFS in MM patients, However, the expression of serum sIL-2R was not statistically significant in evaluating OS in MM patients by univariate and multivariate analysis. CONCLUSION The expression of serum sIL-2R in MM patients was significantly higher than that in healthy people. Serum sIL-2R is an independent prognostic factor of PFS in MM patients.
Humans ; Calcium ; Clinical Relevance ; Creatinine ; Lactate Dehydrogenases ; Multiple Myeloma ; Receptors, Interleukin-2

Background: Type 2 diabetes mellitus (T2DM) is characterized by elevated fasting glucagon and impaired suppression of postprandial glucagon secretion, which may participate in diabetic complications. Therefore, we investigated the associations of plasma glucagon with estimated glomerular filtration rate (eGFR), albuminuria and diabetic kidney disease (DKD) in T2DM patients. Methods: Fasting glucagon and postchallenge glucagon (assessed by area under the glucagon curve [AUCgla]) levels were determined during oral glucose tolerance tests. Patients with an eGFR <60 mL/min/1.73 m2 and/or a urinary albumin-to-creatinine ratio (UACR) ≥30 mg/g who presented with diabetic retinopathy were identified as having DKD. Results: Of the 2,436 recruited patients, fasting glucagon was correlated with eGFR and UACR (r=–0.112 and r=0.157, respectively; P<0.001), and AUCgla was also correlated with eGFR and UACR (r=–0.267 and r=0.234, respectively; P<0.001). Moreover, 31.7% (n=771) presented with DKD; the prevalence of DKD was 27.3%, 27.6%, 32.5%, and 39.2% in the first (Q1), second (Q2), third (Q3), and fourth quartile (Q4) of fasting glucagon, respectively; and the corresponding prevalence for AUCgla was 25.9%, 22.7%, 33.7%, and 44.4%, respectively. Furthermore, after adjusting for other clinical covariates, the adjusted odds ratios (ORs; 95% confidence intervals) for DKD in Q2, Q3, and Q4 versus Q1 of fasting glucagon were 0.946 (0.697 to 1.284), 1.209 (0.895 to 1.634), and 1.521 (1.129 to 2.049), respectively; the corresponding ORs of AUCgla were 0.825 (0.611 to 1.114), 1.323 (0.989 to 1.769), and 2.066 (1.546 to 2.760), respectively. Additionally, when we restricted our analysis in patients with glycosylated hemoglobin <7.0% (n=471), we found fasting glucagon and AUCgla were still independently associated with DKD. Conclusion Both increased fasting and postchallenge glucagon levels were independently associated with DKD in T2DM patients.

The gut microbiota and its metabolites play a critical role on health maintenance, because they are involved in the absorption and metabolism of nutrients in the human bodies. This is also similar to traditional Chinese medicine (TCM) view that the ascending and descending of Qi movement affects Yin-Yang, Qi-blood, pneuma and body fluid, viscera and meridians of our bodies. More and more studies have demonstrated that gut microbiota is closely related to the development and progression of diabetes and its complications. Gut microbiota disorder could affect host metabolic signaling pathways, thereby promoting the formation and development of diabetes. The smooth ascending and descending of Qi movement is the basic form of maintaining host metabolic homeostasis, whose dysfunction however can lead to internal environment disturbance. Based on the theory of ascending and descending of Qi movement, this paper focuses on the pathogenesis of imbalanced intestinal flora in the process of the induction of diabetes mellitus from a dynamic perspective. It is assumed that the imbalance of Qi ascending and descending may act as a trigger for such symptoms as lung Qi impairment, spleen deficiency to dissipating essence, liver Qi stagnation and kidney Yang deficiency. Under this circumstance, gut microbiota will be out of balance, which will further lead to the nutrient substance metabolic disturbance in the body, and thus induce diabetes. Thus, it is significant to explore the regulatory mechanism of gut microbiota and its metabolites on diabetes based on the theory of ascending and descending of Qi movement, so as to reveal the scientific connotation of TCM in regulating substance metabolism homeostasis in the body.

The internationally-accepted Consolidated Standards for Reporting of Trials (CONSORT) and Standards for Reporting Interventions in Controlled Trials of Acupuncture (STRICTA) were applied to evaluate the literature quality of randomized controlled trials (RCTs) regarding acupuncture for chronic neck pain in past 10 years. The literature of RCTs regarding acupuncture for chronic neck pain was searched by computer; the English literature was searched in PubMed and EMbase, while the Chinese literature was searched in CNKI, Wanfang database, VIP database and China Biomedical Literature Database. The literature published from January 2008 to January 2018 was searched. As a result, 29 Chinese articles and 10 English articles were included. According to CONSORT, among Chinese articles, 28 articles (96.6%) described baseline data, 23 articles (79.3%) described randomization, 0 articles (0.0%) described allocation concealment, 3 articles (10.3%) described blind method; among English articles, 6 articles (60.0%) described baseline data, 8 articles (80.0%) described randomization, 8 articles (80.0%) described allocation concealment, and 7 articles (70.0%) described blind method. According to STRICTA, among Chinese articles, 8 articles (27.6%) described needle instrument selection, 18 articles (62.1%) described needle depth, 24 articles (82.8%) described needling sensation, and 0 articles (0.0%) described acupuncturist' qualifications; among English articles, 5 articles (50.0%) described needle instrument selection, 8 articles (80.0%) described needle depth, 3 articles (30.0%) described needling sensation, and 4 articles (40.0%) described acupuncturist' qualifications. In conclusion, the reporting of acupuncture details in Chinese literature is superior to that in English literature, while the reporting of trial design in English literature is slightly superior to that in Chinese literature. Moreover, both Chinese and English literature need to further improve clinical trial design to improve the reporting quality of clinical evidence based on CONSORT and STRICTA.
Acupuncture Therapy ; China ; Humans ; Neck Pain ; therapy ; PubMed ; Publications ; Randomized Controlled Trials as Topic