Objective:To study the risk factors of thyroid nodules in patients with type 2 diabetes.Methods:Data of patients with type 2 diabetes with normal thyroid function admitted to the Department of Endocrinology of Heze Municipal Hospital from January to June 2024 were collected. Binary logistic regression was used to analyze the influencing factors of thyroid nodules in patients with type 2 diabetes, and the receiver operating characteristic curve (ROC curve) was used to evaluate the diagnostic efficacy of each influencing factor.Results:Among 162 patients with type 2 diabetes, 96 had thyroid nodules, accounting for 59.3%. The incidence of thyroid nodules in women was significantly higher than that in men (χ 2 = 4.56, P = 0.034). Multivariate logistic regression analysis showed that age (≥50 years old), overweight and obesity [body mass index (BMI)≥24.0 kg/m 2], high glycated hemoglobin (≥10%), and high total cholesterol ( > 6.5 mmol/L) were independent risk factors for thyroid nodules in patients with type 2 diabetes ( OR = 1.83, 1.67, 1.08, 3.65, P < 0.05), and men was an independent protective factor ( OR = 0.63, P = 0.039). The ROC curve results showed that total cholesterol and total cholesterol combined with glycated hemoglobin could distinguish patients with thyroid nodules from those without thyroid nodules, with AUC = 0.64 and 0.68, respectively, and the differences were statistically significant ( P < 0.05). Conclusions:The incidence of thyroid nodules in patients with type 2 diabetes is relatively high. Age, overweight and obesity, high glycated hemoglobin, and high total cholesterol are independent risk factors for thyroid nodules in patients with type 2 diabetes, and total cholesterol has the ability to distinguish patients with thyroid nodules.

Objective:To study the risk factors of thyroid nodules in patients with type 2 diabetes.Methods:Data of patients with type 2 diabetes with normal thyroid function admitted to the Department of Endocrinology of Heze Municipal Hospital from January to June 2024 were collected. Binary logistic regression was used to analyze the influencing factors of thyroid nodules in patients with type 2 diabetes, and the receiver operating characteristic curve (ROC curve) was used to evaluate the diagnostic efficacy of each influencing factor.Results:Among 162 patients with type 2 diabetes, 96 had thyroid nodules, accounting for 59.3%. The incidence of thyroid nodules in women was significantly higher than that in men (χ 2 = 4.56, P = 0.034). Multivariate logistic regression analysis showed that age (≥50 years old), overweight and obesity [body mass index (BMI)≥24.0 kg/m 2], high glycated hemoglobin (≥10%), and high total cholesterol ( > 6.5 mmol/L) were independent risk factors for thyroid nodules in patients with type 2 diabetes ( OR = 1.83, 1.67, 1.08, 3.65, P < 0.05), and men was an independent protective factor ( OR = 0.63, P = 0.039). The ROC curve results showed that total cholesterol and total cholesterol combined with glycated hemoglobin could distinguish patients with thyroid nodules from those without thyroid nodules, with AUC = 0.64 and 0.68, respectively, and the differences were statistically significant ( P < 0.05). Conclusions:The incidence of thyroid nodules in patients with type 2 diabetes is relatively high. Age, overweight and obesity, high glycated hemoglobin, and high total cholesterol are independent risk factors for thyroid nodules in patients with type 2 diabetes, and total cholesterol has the ability to distinguish patients with thyroid nodules.

CRISPR-Associated Protein 9 ; Gene Editing ; CRISPR-Cas Systems/genetics*

OBJECTIVE: Appraisal of treatment outcomes in integrative medicine is a challenge due to a gap between the concepts of Western medicine (WM) disease and traditional Chinese medicine (TCM) syndrome. This study presents an approach for the appraisal of integrative medicine that is based on targeted metabolomics. We use non-alcoholic fatty liver disease with spleen deficiency syndrome as a test case. METHODS: A patient-reported outcome (PRO) scale was developed based on literature review, Delphi consensus survey, and reliability and validity test, to quantitatively evaluate spleen deficiency syndrome. Then, a metabonomic foundation for the treatment of non-alcoholic fatty liver disease with spleen deficiency syndrome was identified via a longitudinal interventional trial and targeted metabolomics. Finally, an integrated appraisal model was established by identifying metabolites that responded in the treatment of WM disease and TCM syndrome as positive outcomes and using other aspects of the metabonomic foundation as independent variables. RESULTS: Ten symptoms and signs were included in the spleen deficiency PRO scale. The internal reliability, content validity, discriminative validity and structural validity of the scale were all qualified. Based on treatment responses to treatments for WM disease (homeostasis model assessment of insulin resistance) or TCM syndrome (spleen deficiency PRO scale score) from a previous randomized controlled trial, two cohorts comprised of 30 participants each were established for targeted metabolomics detection. Twenty-five metabolites were found to be involved in successful treatment outcomes to both WM and TCM, following quantitative comparison and multivariate analysis. Finally, the model of the integrated appraisal system was exploratively established using binary logistic regression; it included 9 core metabolites and had the prediction probability of 83.3%. CONCLUSION This study presented a new and comprehensive research route for integrative appraisal of treatment outcomes for WM disease and TCM syndrome. Critical research techniques used in this research included the development of a TCM syndrome assessment tool, a longitudinal interventional trial with verified TCM treatment, identification of homogeneous metabolites, and statistical modeling.
Humans ; Drugs, Chinese Herbal ; Integrative Medicine ; Medicine, Chinese Traditional/methods* ; Non-alcoholic Fatty Liver Disease/therapy* ; Reproducibility of Results ; Spleen ; Syndrome ; Treatment Outcome ; Clinical Trials as Topic

Cardiovascular disease (CVD) and environmental degradation are leading global health problems of our time. Recent studies have linked exposure to heavy metals to the risks of CVD and diabetes, particularly in populations from low- and middle-income countries, where concomitant rapid development occurs. In this review, we 1) assessed the totality, quantity, and consistency of the available epidemiological studies, linking heavy metal exposures to the risk of CVD (including stroke and coronary heart disease); 2) discussed the potential biological mechanisms underlying some tantalizing observations in humans; and 3) identified gaps in our knowledge base that must be investigated in future work. An accumulating body of evidence from both experimental and obser- vational studies implicates exposure to heavy metals, in a dose-response manner, in the increased risk of CVD. The limitations of most existing studies include insufficient statistical power, lack of comprehensive assessment of exposure, and cross-sectional design. Given the widespread exposure to heavy metals, an urgent need has emerged to investigate these putative associations of environmental exposures, either independently or jointly, with incident CVD outcomes prospectively in well-characterized cohorts of diverse populations, and to determine potential strategies to prevent and control the impacts of heavy metal exposure on the cardiometabolic health outcomes of individuals and populations.

Cardiovascular disease (CVD) and environmental degradation are leading global health problems of our time. Recent studies have linked exposure to heavy metals to the risks of CVD and diabetes, particularly in populations from low- and middle-income countries, where concomitant rapid development occurs. In this review, we 1) assessed the totality, quantity, and consistency of the available epidemiological studies, linking heavy metal exposures to the risk of CVD (including stroke and coronary heart disease); 2) discussed the potential biological mechanisms underlying some tantalizing observations in humans; and 3) identified gaps in our knowledge base that must be investigated in future work. An accumulating body of evidence from both experimental and obser- vational studies implicates exposure to heavy metals, in a dose-response manner, in the increased risk of CVD. The limitations of most existing studies include insufficient statistical power, lack of comprehensive assessment of exposure, and cross-sectional design. Given the widespread exposure to heavy metals, an urgent need has emerged to investigate these putative associations of environmental exposures, either independently or jointly, with incident CVD outcomes prospectively in well-characterized cohorts of diverse populations, and to determine potential strategies to prevent and control the impacts of heavy metal exposure on the cardiometabolic health outcomes of individuals and populations.

BACKGROUND: Syndrome is one of the most important concepts in Chinese medicine (CM) theory. However, it was not well accounted in most of randomized controlled trials (RCTs). OBJECTIVES: To determine whether CM syndrome differentiation affects the treatment results, functional constipation (FC) was selected as a target disease, and MaZiRenWan (, MZRW), a classic CM formula commonly used for constipation with excessive heat syndrome, was selected for study. METHODS: It is an 18-week prospective double-blinded, doubledummy RCT, including 2-week run-in, 8-week treatment and 8-week post treatment follow-up. A total of 120 FC patients diagnosed as excessive heat syndrome will be recruited from the First Teaching Hospital of Tianjin University of Traditional Chinese Medicine and the Baokang Affiliated Hospital of Tianjin University of Traditional Chinese Medicine. Patients will be randomly allocated into fixed MZRW (f_MZRW) granule group, modified MZRW (m_MZRW) granule group or bisacodyl group. For m_MZRW group, no more than two herbal granules can be added according to the syndrome differentiation for individual participants. The primary end point is the mean of complete spontaneous bowel movements (CSBMs) per week during the treatment period. Secondary end points include mean of CSBMs per week during follow-up, stool form, global symptom improvement, constipation and constipation-related symptoms assessment, CM syndrome change, and reported adverse events. DISCUSSION This trial is designed to evaluate the effectiveness of these three interventions for FC patients with the CM syndrome of excessive heat, and to determine the change of CM syndrome and the progress of disease during the treatment course. The results are important to explore whether syndrome differentiation is important for the therapeutic effect of a formula on a disease. [Trial registration: Chinese Clinical Trial Registry (Reg No. ChiCTR-TRC-13003742); protocol version: MZRW/NSFC-81173363 (2015.05.04)].
Constipation ; diagnosis ; drug therapy ; Double-Blind Method ; Drugs, Chinese Herbal ; therapeutic use ; Humans ; Medicine, Chinese Traditional ; Outcome Assessment (Health Care) ; Prospective Studies ; Randomized Controlled Trials as Topic

OBJECTIVE: To explore the molecular-level mechanism on the hematopoiesis effect of Angelicae sinensis Radix (ASR) with systems-based interactome analysis. METHODS: This systems-based interactome analysis was designed to enforce the workflow of "ASR (herb)→compound→target protein→internal protein actions→ending regulated protein for hematopoiesis". This workflow was deployed with restrictions on regulated proteins expresses in bone marrow and anemia disease and futher validated with experiments. RESULTS: The hematopoiesis mechanism of ASR might be accomplished through regulating pathways of cell proliferation towards hemopoiesis with cross-talking agents of spleen tyrosine kinase (SYK), Janus kinase 2 (JAK2), and interleukin-2-inducible T-cell kinase (ITK). The hematopoietic function of ASR was also validated by colony-forming assay performed on mice bone marrow cells. As a result, SYK, JAK2 and ITK were activated. CONCLUSION This study provides a new approach to systematically study and predict the therapeutic mechanism for ASR based on interactome analysis towards biological process with experimental validations.