BACKGROUND This study examines the complex relationships among the neuroendocrine axis,gut microbiome,inflammatory responses,and gastrointestinal symptoms in patients with irritable bowel syndrome(IBS).The findings pr...BACKGROUND This study examines the complex relationships among the neuroendocrine axis,gut microbiome,inflammatory responses,and gastrointestinal symptoms in patients with irritable bowel syndrome(IBS).The findings provide new insights into the pathophysiology of IBS and suggest potential therapeutic targets for improving patient outcomes.AIM To investigate the interactions between the neuroendocrine axis,gut microbiome,inflammation,and gastrointestinal symptoms in patients with IBS.METHODS Patients diagnosed with IBS between January 2022 and January 2023 were selected for the study.Healthy individuals undergoing routine check-ups during the same period served as the control group.Data were collected on neuroendocrine hormone levels,gut microbiome profiles,inflammatory biomarkers,and gastrointestinal symptomatology to analyze their interrelations and their potential roles in IBS pathogenesis.RESULTS IBS patients exhibited significant dysregulation of the neuroendocrine axis,with altered levels of cortisol,serotonin,and neuropeptides compared to healthy controls.The gut microbiome of IBS patients showed reduced diversity and specific alterations in bacterial genera,including Bifidobacterium,Lactobacillus,and Faecalibacterium,which were associated with neuroendocrine disturbances.Additionally,elevated levels of inflammatory markers,such as C-reactive protein,interleukin-6,and tumor necrosis factor-α,were observed and correlated with the severity of gastrointestinal symptoms like abdominal pain,bloating,and altered bowel habits.CONCLUSION The findings suggest that targeting the neuroendocrine axis,gut microbiome,and inflammatory pathways may offer novel therapeutic strategies to alleviate symptoms and improve the quality of life in IBS patients.展开更多
To determine the correlation between the working environment and the health status of employees in solar greenhouse, 1171 employees were surveyed. The results show the 'Greenhouse diseases' are affected by many fact...To determine the correlation between the working environment and the health status of employees in solar greenhouse, 1171 employees were surveyed. The results show the 'Greenhouse diseases' are affected by many factors. Among general uncomforts, the morbidity of the bone and joint damage is the highest and closely related to labor time and age. Planting summer squash and wax gourd more easilv cause skin pruritus.展开更多
Quality control and screening of active substances in traditional Chinese medicines have been performed using fingerprint analysis. The spectrum-effect relationship between chromatography fingerprints and efficacy of ...Quality control and screening of active substances in traditional Chinese medicines have been performed using fingerprint analysis. The spectrum-effect relationship between chromatography fingerprints and efficacy of herbal drugs is considered as a potentially useful method for determining active ingredients in complex mixtures. The study was designed to develop a method for determining the bioactive components of a compound Chinese medicine called Tiefeng based on spectrum-effect relationships between high-performance liquid chromatography (HPLC) fingerprints and anticoccidial activities. Four peaks of the established HPLC fingerprint indicate the main bioactive components of this medicine. In addition, pharrnacodynamic atlas was defined and used to assess the anticoccidial activity of Tiefeng from different sources for the first time. We found that the level of anticoccidial activity of Tiefeng was consistent with the degree of similarity between the pharmacodynamic atlas and chromatogram of any sample. Furthermore, effect of this medicine was related with the main active constituents, along with the origin and the harvesting time.展开更多
Most methods for classifying hyperspectral data only consider the local spatial relation-ship among samples,ignoring the important non-local topological relationship.However,the non-local topological relationship is b...Most methods for classifying hyperspectral data only consider the local spatial relation-ship among samples,ignoring the important non-local topological relationship.However,the non-local topological relationship is better at representing the structure of hyperspectral data.This paper proposes a deep learning model called Topology and semantic information fusion classification network(TSFnet)that incorporates a topology structure and semantic information transmis-sion network to accurately classify traditional Chinese medicine in hyperspectral images.TSFnet uses a convolutional neural network(CNN)to extract features and a graph convolution network(GCN)to capture potential topological relationships among different types of Chinese herbal medicines.The results show that TSFnet outperforms other state-of-the-art deep learning classification algorithms in two different scenarios of herbal medicine datasets.Additionally,the proposed TSFnet model is lightweight and can be easily deployed for mobile herbal medicine classification.展开更多
Background Growing evidence links alternation of the thyroid function to the pathogenesis and progression of Alzheimer disease (AD). However, only a few studies evaluate the association between thyroid hormone level...Background Growing evidence links alternation of the thyroid function to the pathogenesis and progression of Alzheimer disease (AD). However, only a few studies evaluate the association between thyroid hormone levels and neuropsychiatric manifestations in patients with AD. This study aimed to investigate the relationship of thyroid hormone levels and neuropsychiatric symptoms in euthyroid patients with AD. Methods Forty patients with AD (26 women and 14 men), with no prior AD treatment within 4 weeks before study entry, were evaluated on their thyroid status (total triiodothyronine (TT3),total thyroxine (TT4), and thyroid-stimulating hormone (TSH), cognition (Mini-Mental State Examination (MMSE) and Alzheimer's disease Assessment Scale-Cognitive Subscale (ADAS-cog), neuropsychiatric symptoms (Neuropsychiatric Inventory (NPI) and depression (Hamilton Rating Scale for Depression (HAMD17). The unique relationship between thyroid hormones and cognitive function and mood was examined with multivariate linear regression analyses. The thyroid status between the neuropsychiatric symptoms group and the non-neuropsychiatric symptoms group was examined with independent-samples t-test. Results In euthyroid AD patients with agitation and irritability has lower TSH serum level than those without these symptoms (t=-2.130, P 〈0.05; t=-2.657, P 〈0.05); and core score of HAMD is significantly associated with the serum level of TSH (β=0.395, P 〈0.01). There is no significant association between thyroid hormone levels and cognition (MMSE, ADAS-cog and its subscale score).展开更多
We discuss here the complexity of the doses of traditional Chinese medicine(TCM) prescriptions and herbs from different viewpoints,including the heterogeneity of drug quality,the flexibility of prescriptions,and the d...We discuss here the complexity of the doses of traditional Chinese medicine(TCM) prescriptions and herbs from different viewpoints,including the heterogeneity of drug quality,the flexibility of prescriptions,and the diversity of drug effects.Then,the corresponding research ideas and strategies are proposed.We can reveal the actual situation of clinical doses based on in-depth "real-world study" of the safety and effectiveness of TCM prescriptions,create an analytical method for dose-effect relationships in accordance with the features of TCM,and reveal the correlated regular nature of the effectiveness and dosage of TCM prescriptions and herbs.展开更多
文摘BACKGROUND This study examines the complex relationships among the neuroendocrine axis,gut microbiome,inflammatory responses,and gastrointestinal symptoms in patients with irritable bowel syndrome(IBS).The findings provide new insights into the pathophysiology of IBS and suggest potential therapeutic targets for improving patient outcomes.AIM To investigate the interactions between the neuroendocrine axis,gut microbiome,inflammation,and gastrointestinal symptoms in patients with IBS.METHODS Patients diagnosed with IBS between January 2022 and January 2023 were selected for the study.Healthy individuals undergoing routine check-ups during the same period served as the control group.Data were collected on neuroendocrine hormone levels,gut microbiome profiles,inflammatory biomarkers,and gastrointestinal symptomatology to analyze their interrelations and their potential roles in IBS pathogenesis.RESULTS IBS patients exhibited significant dysregulation of the neuroendocrine axis,with altered levels of cortisol,serotonin,and neuropeptides compared to healthy controls.The gut microbiome of IBS patients showed reduced diversity and specific alterations in bacterial genera,including Bifidobacterium,Lactobacillus,and Faecalibacterium,which were associated with neuroendocrine disturbances.Additionally,elevated levels of inflammatory markers,such as C-reactive protein,interleukin-6,and tumor necrosis factor-α,were observed and correlated with the severity of gastrointestinal symptoms like abdominal pain,bloating,and altered bowel habits.CONCLUSION The findings suggest that targeting the neuroendocrine axis,gut microbiome,and inflammatory pathways may offer novel therapeutic strategies to alleviate symptoms and improve the quality of life in IBS patients.
基金supported by the Profession Expert Group of Facility Cultivation and Engineering(CARS-25-D-03)
文摘To determine the correlation between the working environment and the health status of employees in solar greenhouse, 1171 employees were surveyed. The results show the 'Greenhouse diseases' are affected by many factors. Among general uncomforts, the morbidity of the bone and joint damage is the highest and closely related to labor time and age. Planting summer squash and wax gourd more easilv cause skin pruritus.
基金funded by the National Key Technology R&D Program, China (2008 BADB4B05-02)
文摘Quality control and screening of active substances in traditional Chinese medicines have been performed using fingerprint analysis. The spectrum-effect relationship between chromatography fingerprints and efficacy of herbal drugs is considered as a potentially useful method for determining active ingredients in complex mixtures. The study was designed to develop a method for determining the bioactive components of a compound Chinese medicine called Tiefeng based on spectrum-effect relationships between high-performance liquid chromatography (HPLC) fingerprints and anticoccidial activities. Four peaks of the established HPLC fingerprint indicate the main bioactive components of this medicine. In addition, pharrnacodynamic atlas was defined and used to assess the anticoccidial activity of Tiefeng from different sources for the first time. We found that the level of anticoccidial activity of Tiefeng was consistent with the degree of similarity between the pharmacodynamic atlas and chromatogram of any sample. Furthermore, effect of this medicine was related with the main active constituents, along with the origin and the harvesting time.
基金supported by the National Natural Science Foundation of China(No.62001023)Beijing Natural Science Foundation(No.JQ20021)。
文摘Most methods for classifying hyperspectral data only consider the local spatial relation-ship among samples,ignoring the important non-local topological relationship.However,the non-local topological relationship is better at representing the structure of hyperspectral data.This paper proposes a deep learning model called Topology and semantic information fusion classification network(TSFnet)that incorporates a topology structure and semantic information transmis-sion network to accurately classify traditional Chinese medicine in hyperspectral images.TSFnet uses a convolutional neural network(CNN)to extract features and a graph convolution network(GCN)to capture potential topological relationships among different types of Chinese herbal medicines.The results show that TSFnet outperforms other state-of-the-art deep learning classification algorithms in two different scenarios of herbal medicine datasets.Additionally,the proposed TSFnet model is lightweight and can be easily deployed for mobile herbal medicine classification.
文摘Background Growing evidence links alternation of the thyroid function to the pathogenesis and progression of Alzheimer disease (AD). However, only a few studies evaluate the association between thyroid hormone levels and neuropsychiatric manifestations in patients with AD. This study aimed to investigate the relationship of thyroid hormone levels and neuropsychiatric symptoms in euthyroid patients with AD. Methods Forty patients with AD (26 women and 14 men), with no prior AD treatment within 4 weeks before study entry, were evaluated on their thyroid status (total triiodothyronine (TT3),total thyroxine (TT4), and thyroid-stimulating hormone (TSH), cognition (Mini-Mental State Examination (MMSE) and Alzheimer's disease Assessment Scale-Cognitive Subscale (ADAS-cog), neuropsychiatric symptoms (Neuropsychiatric Inventory (NPI) and depression (Hamilton Rating Scale for Depression (HAMD17). The unique relationship between thyroid hormones and cognitive function and mood was examined with multivariate linear regression analyses. The thyroid status between the neuropsychiatric symptoms group and the non-neuropsychiatric symptoms group was examined with independent-samples t-test. Results In euthyroid AD patients with agitation and irritability has lower TSH serum level than those without these symptoms (t=-2.130, P 〈0.05; t=-2.657, P 〈0.05); and core score of HAMD is significantly associated with the serum level of TSH (β=0.395, P 〈0.01). There is no significant association between thyroid hormone levels and cognition (MMSE, ADAS-cog and its subscale score).
基金Supported by Scientific Research Special Project of TCM Profession (200907001E)Science and Technology Special Major Project for "Significant New Drugs Formulation"(2009ZX09301-005)
文摘We discuss here the complexity of the doses of traditional Chinese medicine(TCM) prescriptions and herbs from different viewpoints,including the heterogeneity of drug quality,the flexibility of prescriptions,and the diversity of drug effects.Then,the corresponding research ideas and strategies are proposed.We can reveal the actual situation of clinical doses based on in-depth "real-world study" of the safety and effectiveness of TCM prescriptions,create an analytical method for dose-effect relationships in accordance with the features of TCM,and reveal the correlated regular nature of the effectiveness and dosage of TCM prescriptions and herbs.