Efficacy of a single session mindfulness based intervention: A randomized clinical trial.

Loneliness, perceived stress, depression, and anxiety have increased during the COVID-19 pandemic. Many of existing mindfulness and compassion-based intervention are effective, but are time-intensive, decreasing overall accessibility and scalability. Single-session interventions (SSIs) serve as a promising alternative. The current pre-registered randomized clinical trial evaluated a newly developed, manualized, mindfulness-based single-session intervention. 91 adults were randomly assigned to one of three conditions: (1) one-hour mindfulness only telehealth intervention; (b) one-hour mindfulness and compassion telehealth intervention; or (c) one-week waitlist control (before randomization to an active intervention). Intervention sessions were conducted by graduate students in clinical psychology. The primary outcome was self-reported loneliness; secondary outcomes were self-reported perceived stress, depression, and anxiety. Using Bayesian multilevel models, we found that compared to the waitlist-control, the inclusion of a compassion component led to meaningful reductions in perceived stress b = -3.75, 95% HDI [-6.95, -0.59], anxiety b = -3.79, 95% HDI [-6.99, -0.53], and depression b = -3.01, 95% HDI [-5.22, -0.78], but not loneliness at the 1-week follow-up. Results suggest that a single-session mindfulness and compassion intervention may lead to meaningful reductions in perceived stress, symptoms of anxiety, and symptoms of depression, but not loneliness. Implications of these findings are discussed.

Efficacy and safety of Chinese patent medicine in the adjuvant treatment of prostate cancer: A Bayesian network meta-analysis.

BACKGROUND: Prostate cancer is the most common cancer in men. In China, traditional Chinese medicine is used to treat prostate cancer. However, there is a lack of evidence for differences in the effectiveness and safety of different Chinese patent medicines. Therefore, we conducted this Network Meta-analysis to investigate the efficacy and safety of different Chinese patent medicines in the treatment of prostate cancer. METHODS: We systematically search PubMed, Web of Science, Embase, Cochrane library, CNKI database, VIP database, wanfang database, and SinoMed Randomized controlled trials of Chinese patent medicines for the treatment of prostate cancer sores included in the database were retrieved until June 1, 2023. The included studies were assessed for risk of bias using Cochrane randomized controlled trial Bias risk Assessment tool. The main outcome indicators were Efficacy, Prostate Specific Antigen, and adverse reaction. Since different courses of treatment were used in the included studies, we used Bayesian mesh meta-regression to investigate the effects of treatment courses on efficacy and safety. RESULTS: Twenty-seven articles were included, involving 1885 patients. Including 9 kinds of Chinese patent medicine. The results of Network Meta-analysis show that: ① efficacy: compared with androgen antagonists, Bruceolic oil emulsion (relative risk = 1.70, 95% credibility interval [CI] (1.30, 2.29)), Compound Kushen injection (relative risk = 1.39, 95%CI (1.19, 1.70)) had significant advantages. There was no significant difference among all Chinese patent medicines (P > .05). The top 3 Chinese patent medicines were Bruceolic oil emulsion, Zhibodihuang pill, Compound Kushen injection. ② Prostate specific antigen: compared with androgen antagonists, Bruceolic oil emulsion (mean difference [MD] = -10.4, 95%CI [-17.6, -3.21]), Compound Kushen injection (MD = -4.46, 95%CI [-8.80, -1.70]), Shenfu injection (MD = -14.7, 95%CI [-23.4, -6.01]) had significant advantages. The top 3 Chinese patent medicines were Shenfu injection, Bruceolic oil emulsion, Compound Kushen injection. adverse reaction: compared with androgen antagonists, there was no significant difference among all PCM (P > .05). CONCLUSION: Compared with androgen antagonists, Chinese patent medicine has significant difference in effectiveness. The effect of Chinese patent medicine is little affected by the course of treatment and dose. From comprehensive analysis, Bruceolic oil emulsion combined with androgen antagonist is the best intervention measures.

Electrolyte disorders induced by six multikinase inhibitors therapy for renal cell carcinoma: a large-scale pharmacovigilance analysis.

To provide evidence for optimization of multi-kinase inhibitors (MKIs) use in the clinic, we use the public database to describe and evaluate electrolyte disorders (EDs) related to various MKIs treated for renal cell carcinoma. We analyzed spontaneous reports submitted to the Food and Drug Administration Adverse Events Reporting System (FAERS) in an observational and retrospective manner. Selecting electrolyte disorders' adverse events to multikinase inhibitors (axitinib, cabozantinib, lenvatinib, pazopanib, sunitinib, and sorafenib). We used Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and multi-item gamma Poisson shrinker (MGPS) algorithms to analyze suspected adverse reactions of electrolyte disorders induced by MKIs (which were treated for renal cell carcinoma) between January 2004 and December 2022. As of December 2022, 2772 MKIs (which were treated for renal cell carcinoma) ICSRs were related to electrolyte disorders AEs. In general, there were more AEs cases in males, except lenvatinib and 71.8% of the cases were submitted from North America. ICSRs in this study, the age group most frequently affected by electrolyte disorders AEs was individuals aged 45-64 years for axitinib, cabozantinib, pazopanib, and sunitinib, whereas electrolyte disorders AEs were more common in older patients (65-74 years) for sorafenib and lenvatinib. For all EDs documented in ICSRs (excluding missing data), the most common adverse outcome was hospitalization(1429/2674, 53.4%), and the most serious outcome was death/life-threat(281/2674, 10.5%). The prevalence of mortality was highest for sunitinib-related EDs (145/616, 23.5%), excluding missing data (n = 68), followed by cabozantinib-related EDs (20/237, 8.4%), excluding missing data (n = 1). The distribution of time-to-onset of Each drug-related ICSRs was not all the same, and the difference was statistically significant (P = 0.001). With the criteria of ROR, the six MKIs were all significantly associated with electrolyte disorders AEs, the strongest association was the association between cabozantinib and hypermagnesaemia. MKIs have been reported to have significant electrolyte disorders AEs. Patients and physicians need to recognize and monitor these potentially fatal adverse events.

The association between trace metals in both cancerous and non-cancerous tissues with the risk of liver and gastric cancer progression in northwest China.

Liver cancer and gastric cancer have extremely high morbidity and mortality rates worldwide. It is well known that an increase or decrease in trace metals may be associated with the formation and development of a variety of diseases, including cancer. Therefore, this study aimed to evaluate the contents of aluminium (Al), arsenic (As), cadmium (Cd), cobalt (Co), chromium (Cr), copper (Cu), iron (Fe), manganese (Mn), nickel (Ni), lead (Pb), selenium (Se), and zinc (Zn) in cancerous liver and gastric tissues, compared to adjacent healthy tissues, and to investigate the relationship between trace metals and cancer progression. During surgery, multiple samples were taken from the cancerous and adjacent healthy tissues of patients with liver and gastric cancer, and trace metal levels within these samples were analysed using inductively coupled plasma mass spectrometry (ICP-MS). We found that concentrations of As, Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb, Se, and Zn in tissues from patients with liver cancer were significantly lower than those in healthy controls (P < 0.05). Similarly, patients with gastric cancer also showed lower levels of Cd, Co, Cr, Mn, Ni, and Zn-but higher levels of Cu and Se-compared to the controls (P < 0.05). In addition, patients with liver and gastric cancers who had poorly differentiated tumours and positive lymph node metastases showed lower levels of trace metals (P < 0.05), although no significant changes in their concentrations were observed to correlate with sex, age, or body mass index (BMI). Logistic regression, principal component analysis (PCA), Bayesian kernel regression (BKMR), weighted quantile sum (WQS) regression, and quantile-based g computing (qgcomp) models were used to analyse the relationships between trace metal concentrations in liver and gastric cancer tissues and the progression of these cancers. We found that single or mixed trace metal levels were negatively associated with poor differentiation and lymph node metastasis in both liver and gastric cancer, and the posterior inclusion probability (PIP) of each metal showed that Cd contributed the most to poor differentiation and lymph node metastasis in both liver and gastric cancer (all PIP = 1.000). These data help to clarify the relationship between changes in trace metal levels in cancerous liver and gastric tissues and the progression of these cancers. Further research is warranted, however, to fully elucidate the mechanisms and causations underlying these findings.

HormoneBayes: A novel Bayesian framework for the analysis of pulsatile hormone dynamics.

The hypothalamus is the central regulator of reproductive hormone secretion. Pulsatile secretion of gonadotropin releasing hormone (GnRH) is fundamental to physiological stimulation of the pituitary gland to release luteinizing hormone (LH) and follicle stimulating hormone (FSH). Furthermore, GnRH pulsatility is altered in common reproductive disorders such as polycystic ovary syndrome (PCOS) and hypothalamic amenorrhea (HA). LH is measured routinely in clinical practice using an automated chemiluminescent immunoassay method and is the gold standard surrogate marker of GnRH. LH can be measured at frequent intervals (e.g., 10 minutely) to assess GnRH/LH pulsatility. However, this is rarely done in clinical practice because it is resource intensive, and there is no open-access, graphical interface software for computational analysis of the LH data available to clinicians. Here we present hormoneBayes, a novel open-access Bayesian framework that can be easily applied to reliably analyze serial LH measurements to assess LH pulsatility. The framework utilizes parsimonious models to simulate hypothalamic signals that drive LH dynamics, together with state-of-the-art (sequential) Monte-Carlo methods to infer key parameters and latent hypothalamic dynamics. We show that this method provides estimates for key pulse parameters including inter-pulse interval, secretion and clearance rates and identifies LH pulses in line with the widely used deconvolution method. We show that these parameters can distinguish LH pulsatility in different clinical contexts including in reproductive health and disease in men and women (e.g., healthy men, healthy women before and after menopause, women with HA or PCOS). A further advantage of hormoneBayes is that our mathematical approach provides a quantified estimation of uncertainty. Our framework will complement methods enabling real-time in-vivo hormone monitoring and therefore has the potential to assist translation of personalized, data-driven, clinical care of patients presenting with conditions of reproductive hormone dysfunction.

Subnational estimates of vitamin A supplementation coverage in children: a geospatial analysis of 45 low- and middle-income countries.

OBJECTIVES: Vitamin A supplementation (VAS) can protect children from the adverse health consequences of vitamin A deficiency. Granular data on VAS coverage can guide global and national efforts to achieve universal VAS coverage. To provide geographically precise targeting of VAS programs and to monitor progress in reducing geographic disparities, we aimed to create high-resolution (5 × 5 km2) maps of VAS coverage in children under 5 years across VAS priority countries. STUDY DESIGN: We used cross-sectional data from the Demographic and Health Surveys (DHS) program. METHODS: We used data from the DHS program for United Nations Children's Fund -designated VAS priority countries between 2000 and 2017 with data available from 2005 or later. The outcome variable was the proportion of children under 5 years who received a vitamin A dose in each sampled cluster. We applied a Bayesian geostatistical approach incorporating geographic, climatic, and nutritional covariates to estimate VAS coverage for each cell. We estimated and mapped absolute VAS coverage, Bayesian uncertainty intervals, and exceedance probabilities. RESULTS: Our sample included countries from Latin America and the Caribbean, Asia, and Africa. Most countries had estimated VAS coverage levels <70%, and our exceedance probabilities indicated high certainty that our estimates fell below this threshold in most grid cells. International variations were most notable in the Latin America and the Caribbean region and Africa. Intranational variations were greatest in some South Asian and West and Central African countries. CONCLUSIONS: These prevalence and exceedance maps, especially used with data on indicators of VAS need, could help to improve equity.

Effect of exercise for depression: systematic review and network meta-analysis of randomised controlled trials.

OBJECTIVE: To identify the optimal dose and modality of exercise for treating major depressive disorder, compared with psychotherapy, antidepressants, and control conditions. DESIGN: Systematic review and network meta-analysis. METHODS: Screening, data extraction, coding, and risk of bias assessment were performed independently and in duplicate. Bayesian arm based, multilevel network meta-analyses were performed for the primary analyses. Quality of the evidence for each arm was graded using the confidence in network meta-analysis (CINeMA) online tool. DATA SOURCES: Cochrane Library, Medline, Embase, SPORTDiscus, and PsycINFO databases. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Any randomised trial with exercise arms for participants meeting clinical cut-offs for major depression. RESULTS: 218 unique studies with a total of 495 arms and 14 170 participants were included. Compared with active controls (eg, usual care, placebo tablet), moderate reductions in depression were found for walking or jogging (n=1210, κ=51, Hedges' g -0.62, 95% credible interval -0.80 to -0.45), yoga (n=1047, κ=33, g -0.55, -0.73 to -0.36), strength training (n=643, κ=22, g -0.49, -0.69 to -0.29), mixed aerobic exercises (n=1286, κ=51, g -0.43, -0.61 to -0.24), and tai chi or qigong (n=343, κ=12, g -0.42, -0.65 to -0.21). The effects of exercise were proportional to the intensity prescribed. Strength training and yoga appeared to be the most acceptable modalities. Results appeared robust to publication bias, but only one study met the Cochrane criteria for low risk of bias. As a result, confidence in accordance with CINeMA was low for walking or jogging and very low for other treatments. CONCLUSIONS: Exercise is an effective treatment for depression, with walking or jogging, yoga, and strength training more effective than other exercises, particularly when intense. Yoga and strength training were well tolerated compared with other treatments. Exercise appeared equally effective for people with and without comorbidities and with different baseline levels of depression. To mitigate expectancy effects, future studies could aim to blind participants and staff. These forms of exercise could be considered alongside psychotherapy and antidepressants as core treatments for depression. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42018118040.

Assessment of Individual and Mixed Effects of Six Minerals on Thyroid Hormones in Chinese Pregnant Women.

The biosynthesis of thyroid hormones is essential for brain and neurological development. It requires iodine as a key component but is also influenced by other nutrients. Evidence for the combined nutrient status in relation to thyroid hormones during pregnancy is limited. We aimed to investigate the joint associations of iodine, selenium, zinc, calcium, magnesium and iron with maternal thyroid functions in 489 pregnant women from Hangzhou, China. Serum levels of six essential minerals and thyroid function parameters were measured during the first antenatal visit. Linear regression, quantile g-computation and Bayesian kernel machine regression were used to explore the individual and joint relationships between the six minerals and thyroid hormones. Linear regression analyses revealed that calcium was positively associated with free triiodothyronine (FT3). Zinc was positively associated with free thyroxine (FT4). Iodine was negatively associated with thyroid-stimulating hormone (TSH) and positively associated with FT3 and FT4. The quantile g-computation and BKMR models indicated that the joint nutrient concentration was negatively associated with TSH and positively associated with FT3 and FT4. Among the six minerals, iodine contributed most to thyroid function. The findings suggested that maintaining the appropriate concentration of minerals, either as individuals or a mixture, is important for thyroid health during pregnancy.

The role of spirituality in pain experiences among adults with cancer: an explanatory sequential mixed methods study.

PURPOSE: Foundational research demonstrates that spirituality may affect the way people with cancer experience pain. One potential route is through alterations in thoughts and beliefs, such as pain-related catastrophizing. The purpose of this study is to understand whether spirituality impacts pain experiences through pain-related catastrophizing. METHODS: This explanatory sequential mixed methods study was informed by an adapted Theory of Unpleasant Symptoms. Data were collected via online surveys (N = 79) and follow-up qualitative interviews (N = 25). Phase 1 employed Empirical Bayesian analysis. Phase 2 used deductive content analysis. Phase 3 involved creating a mixed methods joint display to integrate findings and draw meta inferences. RESULTS: Results indicate that total spiritual well-being was directly negatively associated with pain-related catastrophizing, and indirectly negatively associated with the outcomes of pain interference, pain severity, and pain-related distress. Qualitative categories highlight the supportive role of spirituality when facing pain, while also shedding light on the limitations of spirituality in the context of some pain (i.e., severe, neuropathic, and/or chronic). Mixed methods findings reveal the importance of spirituality for some people as they face cancer and cancer-related pain, as well as the need for integrating spirituality as part of a larger pain management plan. CONCLUSIONS: This research advances supportive cancer care by exploring the complex role of spirituality in pain experiences. Findings will inform further exploration into the role of spirituality in supporting holistic symptom management in the context of cancer, as well as developing and testing interventions to enhance spirituality and address symptom-related suffering.

Aerobic exercise interventions for promoting cardiovascular health and mobility after stroke: a systematic review with Bayesian network meta-analysis.

OBJECTIVE: To determine the superiority of aerobic exercise (AE) interventions on key outcomes of stroke recovery, including cardiorespiratory fitness (V̇O2peak, primary outcome), systolic blood pressure (SBP) and mobility (6 min Walk Test (6MWT) distance and 10 m Usual Gait Speed) after stroke. DATA SOURCES: MEDLINE, EMBASE, Web of Science, CINAHL, CENTRAL, SPORTDiscus, PsycINFO and AMED Allied and Complementary Medicine were searched from inception to February 2023. ELIGIBILITY CRITERIA: Randomised controlled trials were included that compared the effects of any AE interventions (low-intensity, moderate-intensity, high-intensity continuous training (HICT), high-intensity interval training (HIIT)) to no exercise, usual care or other AE interventions in individuals poststroke. ANALYSES: Systematic review with Bayesian network meta-analysis (NMA) methodology was employed. Surface under the cumulative ranking curve (SUCRA) values were used to rank interventions. The Grading of Recommendations, Assessment, Development and Evaluation minimally contextualised framework for NMA was followed. RESULTS: There were 28 studies (n=1298) included in the NMA for V̇O2peak, 11 (n=648) for SBP, 28 (n=1494) for 6MWT and 18 (n=775) for the 10 m Usual Gait Speed. The greatest effect on V̇O2peak, 6MWT and 10 m Usual Gait Speed was observed after HIIT and HICT. No differences between interventions were found for SBP. SUCRA values identified HIIT as the superior AE intervention for all outcomes of interest. HIIT was the most effective intervention for improving V̇O2peak (2.9 mL/kg/min (95% credible interval 0.8 to 5.0) moderate certainty) compared with usual care. CONCLUSION: This NMA suggests that higher-intensity AE is superior to traditional low-intensity to moderate-intensity AE for improving outcomes after stroke.

First report of the complete mitochondrial genome of 3 beetles (Coleoptera: Scarabaeidae) harming Gastrodia elata (Asparagales: Orchidaceae).

Gastrodia elata Blume, a valuable traditional Chinese medicine with significant clinical and nutritional importance, is a fungal heterotrophic orchid. We present the first report of the mitochondrial genome structure and characteristics of 3 Scarabaeidae pests affecting G. elata: Sophrops peronosporus Gu & Zhang, Anomala rufiventris Kollar & Redtenbacher, and Callistethus plagiicollis Fairmaire. Each mitogenome contained 13 protein-coding genes (PCGs), 22 transfer RNAs (tRNAs), 2 ribosomal RNAs (rRNAs), and a control region, with no gene rearrangements observed. All 21 tRNAs, except trnS1 that lacks a dihydrouridine, had a stable cloverleaf secondary structure. Maximum likelihood and Bayesian inference analyses based on the 13 PCGs produced 2 topologically similar phylogenetic trees, both of with high nodal support. Larvae of these Scarabaeidae pests cause substantial damage by gnawing on the tubers and roots of G. elata, leading to reduced yield and compromised quality. These findings contribute to phylogenetic studies of Scarabaeidae, expand knowledge of G. elata pests, and offer valuable reference materials for their identification and control.

Older adults preserve audiovisual integration through enhanced cortical activations, not by recruiting new regions.

Effective interactions with the environment rely on the integration of multisensory signals: Our brains must efficiently combine signals that share a common source, and segregate those that do not. Healthy ageing can change or impair this process. This functional magnetic resonance imaging study assessed the neural mechanisms underlying age differences in the integration of auditory and visual spatial cues. Participants were presented with synchronous audiovisual signals at various degrees of spatial disparity and indicated their perceived sound location. Behaviourally, older adults were able to maintain localisation accuracy. At the neural level, they integrated auditory and visual cues into spatial representations along dorsal auditory and visual processing pathways similarly to their younger counterparts but showed greater activations in a widespread system of frontal, temporal, and parietal areas. According to multivariate Bayesian decoding, these areas encoded critical stimulus information beyond that which was encoded in the brain areas commonly activated by both groups. Surprisingly, however, the boost in information provided by these areas with age-related activation increases was comparable across the 2 age groups. This dissociation-between comparable information encoded in brain activation patterns across the 2 age groups, but age-related increases in regional blood-oxygen-level-dependent responses-contradicts the widespread notion that older adults recruit new regions as a compensatory mechanism to encode task-relevant information. Instead, our findings suggest that activation increases in older adults reflect nonspecific or modulatory mechanisms related to less efficient or slower processing, or greater demands on attentional resources.

Metabolomics identifies and validates serum androstenedione as novel biomarker for diagnosing primary angle closure glaucoma and predicting the visual field progression.

Background: Primary angle closure glaucoma (PACG) is the leading cause of irreversible blindness in Asia, and no reliable, effective diagnostic, and predictive biomarkers are used in clinical routines. A growing body of evidence shows metabolic alterations in patients with glaucoma. We aimed to develop and validate potential metabolite biomarkers to diagnose and predict the visual field progression of PACG. Methods: Here, we used a five-phase (discovery phase, validation phase 1, validation phase 2, supplementary phase, and cohort phase) multicenter (EENT hospital, Shanghai Xuhui Central Hospital), cross-sectional, prospective cohort study designed to perform widely targeted metabolomics and chemiluminescence immunoassay to determine candidate biomarkers. Five machine learning (random forest, support vector machine, lasso, K-nearest neighbor, and GaussianNaive Bayes [NB]) approaches were used to identify an optimal algorithm. The discrimination ability was evaluated using the area under the receiver operating characteristic curve (AUC). Calibration was assessed by Hosmer-Lemeshow tests and calibration plots. Results: Studied serum samples were collected from 616 participants, and 1464 metabolites were identified. Machine learning algorithm determines that androstenedione exhibited excellent discrimination and acceptable calibration in discriminating PACG across the discovery phase (discovery set 1, AUCs=1.0 [95% CI, 1.00-1.00]; discovery set 2, AUCs = 0.85 [95% CI, 0.80-0.90]) and validation phases (internal validation, AUCs = 0.86 [95% CI, 0.81-0.91]; external validation, AUCs = 0.87 [95% CI, 0.80-0.95]). Androstenedione also exhibited a higher AUC (0.92-0.98) to discriminate the severity of PACG. In the supplemental phase, serum androstenedione levels were consistent with those in aqueous humor (r=0.82, p=0.038) and significantly (p=0.021) decreased after treatment. Further, cohort phase demonstrates that higher baseline androstenedione levels (hazard ratio = 2.71 [95% CI: 1.199-6.104], p=0.017) were associated with faster visual field progression. Conclusions: Our study identifies serum androstenedione as a potential biomarker for diagnosing PACG and indicating visual field progression. Funding: This work was supported by Youth Medical Talents - Clinical Laboratory Practitioner Program (2022-65), the National Natural Science Foundation of China (82302582), Shanghai Municipal Health Commission Project (20224Y0317), and Higher Education Industry-Academic-Research Innovation Fund of China (2023JQ006).

Inferring personal intake recommendations of phosphorous and potassium for end-stage renal failure patients by simulating with Bayesian hierarchical multivariate model.

Most end-stage renal disease (ESRD) patients face a risk of malnutrition, partly due to dietary restrictions on phosphorous and, in some cases, potassium intake. These restrictions aim to regulate plasma phosphate and potassium concentrations and prevent the adverse effects of hyperphosphatemia or hyperkalemia. However, individual responses to nutrition are known to vary, highlighting the need for personalized recommendations rather than relying solely on general guidelines. In this study, our objective was to develop a Bayesian hierarchical multivariate model that estimates the individual effects of nutrients on plasma concentrations and to present a recommendation algorithm that utilizes this model to infer personalized dietary intakes capable of achieving normal ranges for all considered concentrations. Considering the limited research on the reactions of ESRD patients, we collected dietary intake data and corresponding laboratory analyses from a cohort of 37 patients. The collected data were used to estimate the common hierarchical model, from which personalized models of the patients' diets and individual reactions were extracted. The application of our recommendation algorithm revealed substantial variations in phosphorus and potassium intakes recommended for each patient. These personalized recommendations deviate from the general guidelines, suggesting that a notably richer diet may be proposed for certain patients to mitigate the risk of malnutrition. Furthermore, all the participants underwent either hospital, home, or peritoneal dialysis treatments. We explored the impact of treatment type on nutritional reactions by incorporating it as a nested level in the hierarchical model. Remarkably, this incorporation improved the fit of the nutritional effect model by a notable reduction in the normalized root mean square error (NRMSE) from 0.078 to 0.003. These findings highlight the potential for personalized dietary modifications to optimize nutritional status, enhance patient outcomes, and mitigate the risk of malnutrition in the ESRD population.

[Molecular identification of animal species of Bufonis Venenum from secretions].

The animal species is one of the key factors affecting the quality of Bufonis Venenum. The quality of Bufonis Venenum derived from Bufo bufo gargarizans is significantly higher than that from B. melanostictus. Since Bufonis Venenum is from secretions, the conventional identification methods are difficult to identify the animal species due to the lack of the appearance and morphology of the animals. The rapid development of molecular identification technology has provided new methods for the identification of Bufonis Venenum. However, because of the low content and serve degradation of residual DNA in secretions, the research on the molecular identification of Chinese medicinal materials from secretions remains to be carried out. To understand the animal species of Bufonis Venenum, this study collected 83 samples of Bufonis Venenum, including 7 commercially available samples, 5 reference medicinal materials, and 71 animal samples from which Bufonis Venenum was prepared according to the method in the 2020 edition of the Chinese Pharmacopoeia. Different DNA extraction methods were used and compared, and the mitochondrial 16S rRNA gene fragments were amplified, on the basis of which the phylogenetic trees were built. Finally, molecular identification of the animal species of the samples was performed. The results showed that the DNA extracted from Bufonis Venenum by the reagent kit had good quality, and 16S rRNA sequences were successfully amplified from 80 out of the 83 samples. In addition, 71 16S rRNA sequences of the animal species of Bufonis Venenum were downloaded from GenBank. The phylogenetic trees constructed based on the neighbor-joining(NJ) method and the Bayesian inference(BI) method showed that the samples derived from B. bufo gargarizans and B. melanostictus were clustered into separate monophyletic clades, with the support of 100%(NJ) and 1.00(BI), respectively. The animal species of both commercially available samples and reference medicinal materials were B. bufo gargarizans. In conclusion, DNA can be extracted from Bufonis Venenum derived from secretions, and the 16S rRNA gene sequences can be amplified, which can be used for molecular identification of the animal species of Bufonis Venenum. The findings provide a reference for the quality control of Bufonis Venenum and the identification of animal species of medicinal materials derived from secretions.

Exploring the impact of stage and tumor site on colorectal cancer survival: Bayesian survival modeling.

Colorectal cancer is a prevalent malignancy with global significance. This retrospective study aimed to investigate the influence of stage and tumor site on survival outcomes in 284 colorectal cancer patients diagnosed between 2001 and 2017. Patients were categorized into four groups based on tumor site (colon and rectum) and disease stage (early stage and advanced stage). Demographic characteristics, treatment modalities, and survival outcomes were recorded. Bayesian survival modeling was performed using semi-competing risks illness-death models with an accelerated failure time (AFT) approach, utilizing R 4.1 software. Results demonstrated significantly higher time ratios for disease recurrence (TR = 1.712, 95% CI 1.489-2.197), mortality without recurrence (TR = 1.933, 1.480-2.510), and mortality after recurrence (TR = 1.847, 1.147-2.178) in early-stage colon cancer compared to early-stage rectal cancer. Furthermore, patients with advanced-stage rectal cancer exhibited shorter survival times for disease recurrence than patients with early-stage colon cancer. The interaction effect between the disease site and cancer stage was not significant. These findings, derived from the optimal Bayesian log-normal model for terminal and non-terminal events, highlight the importance of early detection and effective management strategies for colon cancer. Early-stage colon cancer demonstrated improved survival rates for disease recurrence, mortality without recurrence, and mortality after recurrence compared to other stages. Early intervention and comprehensive care are crucial to enhance prognosis and minimize adverse events in colon cancer patients.

Application of the Weighted-Incidence Syndromic Combination Antibiogram (WISCA) to guide the empiric antibiotic treatment of febrile neutropenia in oncological paediatric patients: experience from two paediatric hospitals in Northern Italy.

BACKGROUND: Guidelines about febrile neutropenia in paediatric patients are not homogeneous; the best empiric treatment of this condition should be driven by local epidemiology. The Weighted-Incidence Syndromic Combination Antibiogram (WISCA) addresses the need for disease-specific local susceptibility evidence that could guide empiric antibiotic prescriptions based on outcome estimates of treatment regimens obtained as a weighted average of pathogen susceptibilities. This study developed a WISCA model to inform empirical antibiotic regimen selection for febrile neutropenia (FN) episodes in onco-haematological paediatric patients treated at two Italian paediatric tertiary centres. METHODS: We included blood cultures from patients with a bloodstream infection and neutropenia admitted to the Paediatric Haematology-Oncology wards in Padua and Genoa Hospitals from 2016 to 2021. WISCAs were developed by estimating the coverage of 20 antibiotics as monotherapy and of 21 combined regimens with a Bayesian probability distribution. RESULTS: We collected 350 blood cultures, including 196 g-negative and 154 g-positive bacteria. Considering the most used antibiotic combinations, such as piperacillin-tazobactam plus amikacin, the median coverage for the pool of bacteria collected in the study was 78%. When adding a glycopeptide, the median coverage increased to 89%, while the replacement of piperacillin-tazobactam with meropenem did not provide benefits. The developed WISCAs showed that no monotherapy offered an adequate coverage rate for the identified pathogens. CONCLUSIONS: The application of WISCA offers the possibility of maximizing the clinical utility of microbiological surveillance data derived from large hospitals to inform the choice of the best empiric treatment while contributing to spare broad-spectrum antibiotics.

Elevated levels of Zn, Cu and Co are associated with an increased risk of endometriosis: Results from a casecontrol study.

BACKGROUND: Endometriosis is a common gynecological disease that affects approximately 5 %∼10 % of reproductive-aged women. Zinc (Zn), selenium (Se), copper (Cu), cobalt (Co) and molybdenum (Mo) are essential trace elements and are very important for human health. However, studies on the relationship between mixtures of essential trace elements and the risk of endometriosis are limited and inconsistent. In particular, studies confirming the association via different sample types are limited. OBJECTIVE: This study aimed to investigate the associations between Zn, Se, Cu, Co and Mo concentrations in blood and follicular fluid (FF) and endometriosis risk in a Chinese population. METHODS: A total of 609 subjects undergoing in vitro fertilization (IVF) were recruited; 836 samples were analyzed, including 451 blood samples (234 controls and 217 cases) and 385 FF samples (203 controls and 182 cases). In addition, 227 subjects provided both blood and FF samples. Zn, Se, Cu, Co and Mo concentrations in blood and FF were quantified via inductively coupled plasma-mass spectrometry (ICP-MS). The associations between the levels of Zn, Se, Cu, Co and Mo and the risk of endometriosis were assessed using single-element models (logistic regression models), and the combined effect of the trace elements on endometriosis risk was assessed using multielement models (Bayesian kernel machine regression (BKMR) and weighted quantile sum (WQS) regression). RESULTS: Based on the single-element models, significant associations of Zn concentrations in blood (high-level vs. low-level group: aOR = 14.17, 95 % CI: 7.31, 27.50) and FF (first tertile vs. second tertile group: aOR = 0.34, 95 % CI: 0.16, 0.71; third tertile vs. second tertile group: aOR = 2.32, 95 % CI: 1.38, 3.91, respectively) and Co concentrations in blood (first tertile vs. second tertile group, aOR = 0.24, 95 % CI: 0.12, 0.48) and FF (third tertile vs. second tertile group: aOR = 3.87, 95 % CI: 2.19, 6.84) with endometriosis risk were found after adjustment for all confounders. In FF, Cu and Mo levels were significantly greater among the cases than among the controls, with a positive association with endometriosis risk (Cu (first tertile vs. second tertile group: aOR = 0.39, 95 % CI: 0.19, 0.81; third tertile vs. second tertile group: aOR = 2.73, 95 % CI: 1.61, 4.66, respectively) and Mo (high-level vs. low-level group: aOR = 14.93, 95 % CI: 7.16, 31.12)). However, similar associations between blood Cu and Mo levels and endometriosis risk were not found. In addition, the levels of these five essential trace element mixtures in blood and in FF were significantly and positively associated with endometriosis risk according to the BKMR analyses; the levels of Zn and Cu in blood and the levels of Mo in FF were significantly related to the risk of endometriosis, and the posterior inclusion probabilities (PIPs) were 1.00, 0.99 and 1.00 for Zn and Cu levels in blood and Mo levels in FF, respectively. Furthermore, Zn and Mo were the highest weighted elements in blood and FF, respectively, according to WQS analyses. CONCLUSION: The risk of endometriosis was associated with elevated levels of several essential trace elements (Zn, Cu and Co). Elevated levels of these elements may be involved in the pathomechanism of endometriosis. However, further studies with larger sample sizes will be necessary to confirm these associations.

Herbal medicine for Hashimoto's thyroiditis: A systematic review and network meta-analysis.

ETHNOPHARMACOLOGICAL RELEVANCE: Conventional treatments for Hashimoto's thyroiditis (HT) are limited. Herbal medicines (HM) are considered a potential intervention for the treatment of HT. AIM OF THE STUDY: This study aimed to investigate the efficacy and safety of HM for HT. MATERIALS AND METHODS: A Bayesian network meta-analysis was conducted for patients with HT in randomized controlled trials identified in PubMed, Cochrane Library, Web of Science, EMBASE, Chinese Clinical Trial Registry (Chi CTR), China National Knowledge Infrastructure (CNKI), China Science and Technology Journal Database (the VIP), China Chinese Biomedical Database (CBM), and Wanfang Database were searched from their inception to Oct 1, 2022. Outcomes included the primary outcome (TPOAb), secondary outcomes (TSH, TGAb, FT3, FT4, and traditional Chinese medicine symptom scores), and adverse events. This study was registered in PROSPERO (CRD42022363640). RESULTS: Sixteen trials were reviewed and 16 HM formulae were compared. Compared with non-drug therapy (NDT), all therapies, except for Tiaoqi-Qingjie Therapy, reduced the primary outcome of TPOAb with different levels of effectiveness, ranging from 0.01 (95%CI 0.00, 0.02) to 0.92 (95%CI 0.56, 1.53). Ranking probability analysis indicated that Yiqi Huayu Recipe, Liqi Xiaoying decoction, and Shugan Sanjie therapy reduced thyroid antibody levels the most, including TPOAb (100.0%, 90.9%, and 90.3%, respectively) and TGAb (98.3%, 94.4%, and 87.3%, respectively). All HMs displayed a significant effect on the TCM Symptom score and possibly benefitted the treatment of HT, ranging from 6.62 (95% CI 2.06, 21.24) to 94.50 (95% CI 15.97, 559.14). No serious adverse events were reported. CONCLUSIONS: Herbal medicines may be effective in the treatment of HT, especially in reducing thyroid antibody levels and improving clinical symptoms without affecting thyroid function. However, these results should be considered preliminary and further verified using high-quality evidence.

Efficacy and safety of curcumin therapy for knee osteoarthritis: A Bayesian network meta-analysis.

ETHNOPHARMACOLOGICAL RELEVANCE: Curcumin, a polyphenolic compound extracted from turmeric (Curcuma longa L.), is widely used in traditional Chinese medicine to treat osteoarthritis and rheumatoid arthritis. Clinical and experimental studies show that curcuminoid formulations have considerable clinical application value in the treatment of knee osteoarthritis (KOA). AIM OF THE STUDY: To evaluate the efficacy and safety of curcumin, both alone and in combination with other drugs, in KOA treatment through a Bayesian network meta-analysis (NMA). METHODS: We searched PubMed, Embase and Cochrane Library for randomized controlled trials of curcumin for KOA treatment. The time range of the search was from the establishment of each database to April 26, 2023. The NMAs of outcome indicators were all performed using a random-effects model. NMAs were calculated and graphed in R using MetaInsight and Stata 140 software. Measurement data were represented by the mean difference (MD), while count data were represented by the odds ratio (OR); the 95% confidence interval (CI) of each effect size was also calculated. RESULTS: This study included 23 studies from 7 countries, including 2175 KOA patients and 6 interventions. The NMA results showed that compared with placebo, curcumin significantly reduced the visual analogue scale pain score (MD = -1.63, 95% CI: -2.91 to -0.45) and total WOMAC score (MD = -18.85, 95% CI: -29.53 to -8.76). Compared with placebo, curcumin (OR = 0.17, 95% CI: 0.08 to 0.36), curcumin + NSAIDs (OR = 0.01, 95% CI: 0.00 to 0.13) and NSAIDs (OR = 0.11, 95% CI: 0.02 to 0.47) reduced the use of rescue medication. Compared with NSAIDs, curcumin (OR = 0.51, 95% CI: 0.25 to 0.94) and curcumin + NSAIDs (OR = 0.23, 95% CI: 0.06 to 0.9) had a reduced incidence of adverse reactions. The surface under the cumulative ranking curve results indicated that curcumin monotherapy, curcumin + chondroprotective agents, and curcumin + NSAIDs have good clinical value in KOA treatment. CONCLUSIONS: Curcumin, either alone or in combination with other treatments, is considered to have good clinical efficacy and safety in KOA treatment. Drug combinations containing curcumin may have the dual effect of enhancing efficacy and reducing adverse reactions, but this possibility still needs to be confirmed by further clinical and basic research.