Effects of acupuncture on hypothalamic-pituitary-adrenal axis: Current status and future perspectives.

The hypothalamic-pituitary-adrenal (HPA) axis is a critical component of the neuroendocrine system, playing a central role in regulating the body's stress response and modulating various physiological processes. Dysregulation of HPA axis function disrupts the neuroendocrine equilibrium, resulting in impaired physiological functions. Acupuncture is recognized as a non-pharmacological type of therapy which has been confirmed to play an important role in modulating the HPA axis and thus favorably targets diseases with abnormal activation of the HPA axis. With numerous studies reporting the promising efficacy of acupuncture for neuroendocrine disorders, a comprehensive review in terms of the underlying molecular mechanism for acupuncture, especially in regulating the HPA axis, is currently in need. This review fills the need and summarizes recent breakthroughs, from the basic principles and the pathological changes of HPA axis dysfunction, to the molecular mechanisms by which acupuncture regulates the HPA axis. These mechanisms include the modulation of multiple neurotransmitters and their receptors, neuropeptides and their receptors, and microRNAs in the paraventricular nucleus, hippocampus, amygdala and pituitary gland, which alleviate the hyperfunctioning of the HPA axis. This review comprehensively summarizes the mechanism of acupuncture in regulating HPA axis dysfunction for the first time, providing new targets and prospects for further exploration of acupuncture. Please cite this article as: Zheng JY, Zhu J, Wang Y, Tian ZZ. Effects of acupuncture on hypothalamic-pituitary-adrenal axis: Current status and future perspectives. J Integr Med. 2024; Epub ahead of print.

The highly selective and sensitive fluorescence probe for detection of copper (II) ions and its bioimaging in vitro and vivo.

We designed and developed the probe W-3 for detection of Cu2+. The results showed probe can selectively detect Cu2+, accompanied by noticeable color change. The probe can detect the Cu2+ in water samples and drinks based on absorption detection. In addition, the combination of portable test paper and the smartphone platform obtained great convenience for on-site and visual detection of Cu2+, with satisfactory sensitivity and reliability. More importantly, the fluorescence probe W-3 can be used for the detection of Cu2+ in cells and mice. Therefore, the W-3 provided potential chemical tools for detecting Cu2+ in vitro and vivo.

Increase in grain production potential of China under climate change.

The rapid growth of China's demand for grains is expected to continue in the coming decades, largely as a result of the increasing feed demand to produce protein-rich food. This leads to a great concern on future supply potentials of Chinese agriculture under climate change and the extent of China's dependence on world food markets. While the existing literature in both agronomy and climate economics indicates a dominance of the adverse impacts of climate change on rice, wheat, and maize yields, there is a lack of study to assess changes in multi-cropping opportunities induced by climate change. Multi-cropping benefits crop production by harvesting more than once per year from a given plot. To address this important gap, we established a procedure within the agro-ecological zones (AEZ) modeling framework to assess future spatial shifts of multi-cropping conditions. The assessment was based on an ensemble of five general circulation models under four representative concentration pathway scenarios in the phase five of coupled model inter-comparison project and accounted for the water scarcity constraints. The results show significant northward extensions of single-, double-, and triple-cropping zones in the future which would provide good opportunities for crop-rotation-based adaptation. The increasing multi-cropping opportunities would be able to boost the annual grain production potential by an average scale of 89(±49) Mt at the current irrigation efficiency and 143(±46) Mt at the modernized irrigation efficiency with improvement between the baseline (1981-2010) and the mid-21st century (2041-2070).

Rapid Determination of Polysaccharides in Cistanche Tubulosa Using Near-Infrared Spectroscopy Combined with Machine Learning.

BACKGROUND: Cistanche tubulosa, as a homology of medicine and food, not only has a unique medicinal value but also is widely used in healthcare products. Polysaccharide is one of its important quality indicators. OBJECTIVE: In this study, an analytical model based on near-infrared (NIR) spectroscopy combined with machine learning was established to predict the polysaccharide content of C. tubulosa. METHODS: The polysaccharide content in the samples determined by the phenol-sulfuric acid method was used as a reference value, and machine learning was applied to relate the spectral information to the reference value. Dividing the samples into a calibration set and a prediction set using the Kennard-Stone algorithm. The model was optimized by various preprocessing methods, including Savitzky-Golay (SG), standard normal variate (SNV), multiple scattering correction (MSC), first-order derivative (FD), second-order derivative (SD), and combinations of them. Variable selection was performed through the successive projections algorithm (SPA) and stability competitive adaptive reweighted sampling (sCARS). Four machine learning models were used to build quantitative models, including the random forest (RF), partial least-squares (PLS), principal component regression (PCR), and support vector machine (SVM). The evaluation indexes of the model were the coefficient of determination (R2), root-mean-square error (RMSE), and residual prediction deviation (RPD). RESULTS: RF performs best among the four machine learning models. R2c （calibration set coefficient of determination） and RMSEC （root mean square error of the calibration set）, %, were 0.9763. and 0.3527 for calibration, respectively. R2p （prediction set coefficient of determination）, RMSEP （root mean square error of the prediction set）, %, and RPD were 0.9230, 0.5130, and 3.33 for prediction, respectively. CONCLUSION: The results indicate that NIR combined with the RF is an effective method applied to the quality evaluation of the polysaccharides of C. tubulosa. HIGHLIGHTS: Four quantitative models were developed to predict the polysaccharide content in C. tubulosa, and good results were obtained. The characteristic variables were basically determined by the sCARS algorithm, and the corresponding characteristic groups were analyzed.

Efficacy comparison of intravitreal injection of Conbercept versus Aflibercept in the treatment of pachychoroid neovasculopathy / 国际眼科杂志(Guoji Yanke Zazhi)

AIM:To observe and compare the clinical efficacy and safety of intravitreal injection of conbercept or aflibercept in the treatment of pachychoroid neovasculopathy(PNV).METHODS:Retrospective case-control study. A total of 33 patients(35 eyes)diagnosed as PNV in our hospital from February 2018 to October 2022 were divided into 14 cases(14 eyes)in conbercept group and 19 cases(21 eyes)in aflibercept group according to the treatment methods. The best corrected visual acuity(BCVA), subfoveal choroidal thickness(SFCT)and central macular thickness(CMT), injection times and clinical complications of the two groups were compared before and 1, 3 and 6mo after treatment.RESULTS:BCVA, CMT and SFCT in both groups were significantly improved after 1, 3 and 6mo of treatment(all P<0.05). During the whole follow-up period, the number of intravitreal injections in the two groups were 2(2, 3)and 2(1.5, 2)respectively, and there was no significant difference(P=0.423). No serious complications occurred during the treatment of the two groups.CONCLUSION:Both intravitreal injections of conbercept and aflibercept can treat PNV with similar therapeutic effects. The desired clinical outcome is achieved by improving the anatomy while improving visual acuity.

Vocal acoustic features may be objective biomarkers of negative symptoms in schizophrenia: A cross-sectional study.

BACKGROUND: There are currently no objective biomarkers that allow the quantification of negative symptoms of schizophrenia. This study therefore explored the use of acoustic features in identifying the severity of negative symptoms in patients with schizophrenia. METHODS: We recruited 79 inpatients who were diagnosed with schizophrenia according to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (the schizophrenia group) at the Huilongguan Hospital in Beijing, China, and 79 healthy controls from the surrounding community (the control group). We assessed the clinical symptoms of the patients with schizophrenia using the Positive and Negative Syndrome Scale (PANSS) and the Brief Negative Symptom Scale (BNSS) and recorded the voice of each participant as they read emotionally positive, neutral, and negative texts. The Praat software was used to analyse and extract acoustic characteristics from the recordings, such as jitter, shimmer, and pitch. The acoustic differences between the two groups of participants and the relationship between acoustic characteristics and clinical symptoms in the patient group were analysed. RESULTS: There were significant differences between the schizophrenia and control groups in pitch, voice breaks, jitter, shimmer, and the mean harmonics-to-noise ratio (p < 0.05). Jitter was negatively correlated with the blunted affect and alogia subscale scores of the BNSS, both in the positive and neutral emotion conditions, but the correlation disappeared in the negative emotion condition. However, shimmer exhibited a stable negative correlation with the blunted affect and alogia subscale scores of the BNSS in all three emotion conditions. A linear regression analysis showed that pitch, jitter, shimmer, and age were statistically significant predictors of BNSS subscale scores. CONCLUSIONS: Acoustic emotional expression differs between patients with schizophrenia and healthy controls. Some acoustic characteristics are related to the severity of negative symptoms, regardless of semantic emotions, and may therefore be objective biomarkers of negative symptoms. A systematic method for assessing vocal acoustic characteristics could provide an accurate and feasible means of assessing negative symptoms in schizophrenia. TWEET: Acoustic emotional expression differs between patients with schizophrenia and healthy controls. A systematic method for assessing vocal acoustics could provide an accurate and feasible means of assessing negative symptoms in schizophrenia.

B cell memory responses induced by foot-and-mouth disease virus-like particles in BALB/c mice.

A challenging but critical question is that new foot-and-mouth disease (FMD) vaccines should be to induce B cell memory to provide antibodies for long-term protection. The maintenance of B cell memory is dependent on long-lived plasma cells (LLPCs) and memory B cells. We developed a chimeric FMDV virus-like particles (FMDV-VLPs), fusing VP1-VP4 into HBcAg. In our study, we investigated if or how long B cell memory was induced by FMDV-VLPs in mice. The data showed that FMDV-VLPs can induce memory humoral responses with a high level of total IgG1, IgG2a, IgA, and FMDV-specific IgG antibodies in serum. The persistence of antibody levels in serum could depend on LLPCs. The proportion of LLPCs in CD19+ cells in bone marrow exhibited a dynamic trend with two peaks at 28 days post-immunization (dpi) and 72 dpi, respectively. Additionally, the proportion of memory B cells in CD19+ cells in the spleen increased significantly both at 7 days post primary immunization and at 7 days post -boost immunization. Of note, LLPCs together with memory B cells contribute to the production of FMDV-specific IgG and IgG1. The changes of LLPCs and memory B cells may be related to TNF-α, IL-6 and, CXCL12. Taken together, FMDV-VLPs could induce B cells memory responses. A further understanding of the mechanisms that FMDV-VLPs how we can manipulate the induction and maintenance of memory B cells and LLPCs will promote vaccine design and likely address several challenges to develop FMDV new vaccines in the future.

Vocal Acoustic Features as Potential Biomarkers for Identifying/Diagnosing Depression: A Cross-Sectional Study.

Background: At present, there is no established biomarker for the diagnosis of depression. Meanwhile, studies show that acoustic features convey emotional information. Therefore, this study explored differences in acoustic characteristics between depressed patients and healthy individuals to investigate whether these characteristics can identify depression. Methods: Participants included 71 patients diagnosed with depression from a regional hospital in Beijing, China, and 62 normal controls from within the greater community. We assessed the clinical symptoms of depression of all participants using the Hamilton Depression Scale (HAMD), Hamilton Anxiety Scale (HAMA), and Patient Health Questionnaire (PHQ-9), and recorded the voice of each participant as they read positive, neutral, and negative texts. OpenSMILE was used to analyze their voice acoustics and extract acoustic characteristics from the recordings. Results: There were significant differences between the depression and control groups in all acoustic characteristics (p < 0.05). Several mel-frequency cepstral coefficients (MFCCs), including MFCC2, MFCC3, MFCC8, and MFCC9, differed significantly between different emotion tasks; MFCC4 and MFCC7 correlated positively with PHQ-9 scores, and correlations were stable in all emotion tasks. The zero-crossing rate in positive emotion correlated positively with HAMA total score and HAMA somatic anxiety score (r = 0.31, r = 0.34, respectively), and MFCC9 of neutral emotion correlated negatively with HAMD anxiety/somatization scores (r = -0.34). Linear regression showed that the MFCC7-negative was predictive on the PHQ-9 score (ß = 0.90, p = 0.01) and MFCC9-neutral was predictive on HAMD anxiety/somatization score (ß = -0.45, p = 0.049). Logistic regression showed a superior discriminant effect, with a discrimination accuracy of 89.66%. Conclusion: The acoustic expression of emotion among patients with depression differs from that of normal controls. Some acoustic characteristics are related to the severity of depressive symptoms and may be objective biomarkers of depression. A systematic method of assessing vocal acoustic characteristics could provide an accurate and discreet means of screening for depression; this method may be used instead of-or in conjunction with-traditional screening methods, as it is not subject to the limitations associated with self-reported assessments wherein subjects may be inclined to provide socially acceptable responses rather than being truthful.

Coaxial illumination module of the stimulated-emission-depletion nanoscope.

Stimulated-emission-depletion (STED) nanoscope achieves super-resolution imaging by using a donut-shaped depletion beam to darken the fluorophores around the excitation spot. As an important factor determining the resolution of imaging, the coaxiality between the excitation and the depletion beam is required to be maintained at the nanoscale, which is often degraded by various interference such as ambient vibration and temperatures etc. Here, we propose a specially designed STED illumination module to guarantee the coaxiality between the two beams while modulating the phase of the depletion beam. This STED illumination module can realize phase modulation, polarization adjustment, pulse delay and two beams coaxial at the same time. With the experiments, the module can guarantee the two beams are stably coaxial for a long time. We imaged fluorescence particles with diameter 40 nm and got images of 40 nm full width at half maximum. Adjacent microfilaments at 80 nm being clearly distinguished with our STED nonoscope demonstrates that it could be well applied to biological samples.

High-Flow Nasal Cannula for Chronic Obstructive Pulmonary Disease with Acute Compensated Hypercapnic Respiratory Failure: A Randomized, Controlled Trial.

Introduction: Currently, there is a lack of evidence on the utilization of high-flow nasal cannula (HFNC) in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) accompanied by hypercapnic respiratory failure. We aimed to explore the efficacy and safety of HFNC compared with conventional oxygen therapy (COT) in such patients. Methods: This was a prospective, randomized, controlled trial. Patients with AECOPD with a baseline arterial blood gas pH ≥7.35, PaO2 <60 mmHg, and PaCO2 >45 mmHg were enrolled. The primary endpoint was treatment failure, which needs mechanical ventilation. Results: A total of 320 patients were randomized to either the HFNC group (n = 160) or the COT group (n = 160). Sixteen (10.0%) patients in the HFNC group had treatment failure during hospitalization, which was significantly lower than the COT group figure of 31 (19.4%) patients (p = 0.026). Twenty-four hours after recruitment, the PaCO2 of the HFNC group was lower than that of the COT group (54.1 ± 9.79 mmHg vs 56.9 ± 10.1 mmHg, p = 0.030). PaCO2 higher than 59 mmHg after HFNC for 24 h was identified as an independent risk factor for treatment failure [OR 1.078, 95% CI 1.006-1.154, p = 0.032]. Conclusion: In AECOPD patients with acute compensated hypercapnic respiratory failure, HFNC improved the prognosis compared with COT. Therefore, HFNC might be considered for first-line oxygen therapy in select patients. Trial Registration Number: ClinicalTrials.Gov: NCT02439333.

Mitigating heat-related mortality risk in Shanghai, China: system dynamics modeling simulations.

Numerous studies in epidemiology, meteorology, and climate change research have demonstrated a significant association between abnormal ambient temperature and mortality. However, there is a shortage of research attention to a systematic assessment of potential mitigation measures which could effectively reduce the heat-related morbidity and mortality risks. This study first illustrates a conceptualization of a systems analysis version of urban framework for climate service (UFCS). It then constructs a system dynamics (SD) model for the UFCS and employs this model to quantify the impacts of heat waves on public health system in Shanghai and to evaluate the performances of two mitigation measures in the context of a real heat wave event in July 2013 in the city. Simulation results show that in comparison with the baseline without mitigation measures, if the hospital system could prepare 20% of beds available for emergency response to heat waves once receiving the warning in advance, the number of daily deaths could be reduced by 40-60 (15.8-19.5%) on the 2 days of day 7 and day 8; if increasing the minimum living allowance of 790 RMB/month in 2013 by 20%, the number of daily deaths could be reduced by 50-70 (17.7-21.9%) on the 2 days of day 8 and day 12. This tool can help policy makers systematically evaluate adaptation and mitigation options based on performance assessment, thus strengthening urban resilience to changing climate.

Spatial and temporal distribution and trend in flood and drought disasters in East China.

Frequent floods and droughts have brought serious impact on economy, society and living environment in East China. Based on the disaster census data of rainstorm-induced flood (including landslide and mud-rock flow) and drought disasters in 637 counties (districts) in East China, the distribution and change of flood and drought disasters were analyzed. The results indicate that the number of records of flood disaster increased at a rate of 77.4 times per decade from 1984 to 2010, while that of drought disaster had no significant trend in East China as a whole. Population affected by floods and droughts increased at rates of 8.7 million and 3.8 million persons per decade, respectively, and the direct economic losses increased at rates of 12.6 billion and 1.9 billion Chinese Yuan per decade respectively, whereas the affected area and the total failure area of crops caused by floods and droughts showed no clear trends. Spatially, the number of records of floods in the southern parts of East China was higher than that in the northern parts, and Anhui, Jiangxi, Zhejiang and Fujian had more records of affected population, deaths, affected crops, total crop failures and direct economic losses, as well as more affected population and deaths. The affected crop area and total crop failure area by floods were also larger in Anhui, Jiangxi and Jiangsu. Drought disaster had higher number of records of affected population, affected crops, total crop failures and direct economic losses in Anhui, Jiangxi, Zhejiang and Shandong, and also affected more people and larger area of crops, leading to larger area of total crop failures and higher direct economic losses in Anhui, Jiangxi and Shandong. The results can provide reference for disaster risk regionalization and environmental risk assessment in East China.

Agro-ecological suitability assessment of Chinese Medicinal Yam under future climate change.

Chinese Medicinal Yam (CMY) has been prescribed as medicinal food for thousand years in China by Traditional Chinese Medicine (TCM) practitioners. Its medical benefits include nourishing the stomach and spleen to improve digestion, replenishing lung and kidney, etc., according to the TCM literature. As living standard rises and public health awareness improves in recent years, the potential medicinal benefits of CMY have attracted increasing attention in China. It has been found that the observed climate change in last several decades, together with the change in economic structure, has driven significant shift in the pattern of the traditional CMY planting areas. To identify suitable planting area for CMY in the near future is critical for ensuring the quality and supply quantity of CMY, guiding the layout of CMY industry, and safeguarding the sustainable development of CMY resources for public health. In this study, we first collect 30-year records of CMY varieties and their corresponding phenology and agro-meteorological observations. We then consolidate these data and use them to enrich and update the eco-physiological parameters of CMY in the agro-ecological zone (AEZ) model. The updated CMY varieties and AEZ model are validated using the historical planting area and production under observed climate conditions. After the successful validation, we use the updated AEZ model to simulate the potential yield of CMY and identify the suitable planting regions under future climate projections in China. This study shows that regions with high ecological similarity to the genuine and core producing areas of CMY mainly distribute in eastern Henan, southeastern Hebei, and western Shandong. The climate suitability of these areas will be improved due to global warming in the next 50 years, and therefore, they will continue to be the most suitable CMY planting regions.

Synthesized trade-off analysis of flood control solutions under future deep uncertainty: An application to the central business district of Shanghai.

Coastal mega-cities will face increasing flood risk under the current protection standard because of future climate change. Previous studies seldom evaluate the comparative effectiveness of alternative options in reducing flood risk under the uncertainty of future extreme rainfall. Long-term planning to manage flood risk is further challenged by uncertainty in socioeconomic factors and contested stakeholder priorities. In this study, we conducted a knowledge co-creation process together with infrastructure experts, policy makers, and other stakeholders to develop an integrated framework for flexible testing of multiple flood-risk mitigation strategies under the condition of deep uncertainties. We implemented this framework to the reoccurrence scenarios in the 2050s of a record-breaking extreme rainfall event in central Shanghai. Three uncertain factors, including precipitation, urban rain island effect and the decrease of urban drainage capacity caused by land subsidence and sea level rise, are selected to build future extreme inundation scenarios in the case study. The risk-reduction performance and cost-effectiveness of all possible solutions are examined across different scenarios. The results show that drainage capacity decrease caused by sea-level rise and land subsidence will contribute the most to the rise of future inundation risk in central Shanghai. The combination of increased green area, improved drainage system, and the deep tunnel with a runoff absorbing capacity of 30% comes out to be the most favorable and robust solution which can reduce the future inundation risk by 85% (±8%). This research indicates that to conduct a successful synthesized trade-off analysis of alternative flood control solutions under future deep uncertainty is bound to be a knowledge co-creation process of scientists, decision makers, field experts, and other stakeholders.

LHX3 is an advanced-stage prognostic biomarker and metastatic oncogene in hepatocellular carcinoma.

BACKGROUND: Hepatocellular carcinoma (HCC) is a common cancer and exhibits high morbidity and mortality in the world. We recently identified LHX3 as a preferentially expressed gene with a possible involvement in HCC. OBJECTIVE: To determine the expression, clinical relevance, prognostic significance and functions of LHX3 in HCC. MATERIALS AND METHODS: LHX3 expression was assessed in 190 cancerous and 40 adjacent non-cancerous tissues by PCR, western blot and immunohistochemistry. Associations between LHX3 expression and clinicopathological characteristics of patients were investigated. Correlations between LHX3 expression and overall survival of patients were analyzed by Kaplan-Meier and Cox-regression methods. Functional roles of LHX3 were evaluated by transwell assays. RESULTS: LHX3 expression is significantly increased in carcinoma tissues, and associated with clinical stage and metastasis of patients. LHX3 expression is much higher in the advanced-stage patients than the early-stage patients, and is sharply increased in metastasic patients. High LHX3 expression is associated with unfavorable overall survival, and is an independent prognostic factor of patients. Moreover, LHX3 is an unfavorable and independent prognostic factor unique to advanced-stage patients. Knockdown expression of LHX3 obviously inhibits tumor cell migration and invasion. CONCLUSION: LHX3 is an advanced-stage prognostic biomarker, and acts as a new potential metastatic oncogene in HCC.

Trends in the consecutive days of temperature and precipitation extremes in China during 1961-2015.

BACKGROUND AND AIMS: Consecutive climatic extremes have more intense impacts on natural ecosystems and human activities than occasional events. There were many studies about the frequency or intensity of extreme weather events, but few focused on the consecutiveness or continuousness of climatic extremes. We analyzed the temporal and spatial distributions and tendencies in the consecutive temperature and precipitation extremes in China during 1961-2015. METHODS: Daily temperature and precipitation data at 1867 meteorological stations over China was used and four consecutive indices of climate extremes, i.e. cold spell duration indicator (CSDI), warm spell duration indicator (WSDI), consecutive dry days (CDD) and consecutive wet days (CWD), were calculated by RClimDex 1.0. Linear trends in the time series of consecutive days of temperature and precipitation extremes were examined and their statistical significance was evaluated using Mann-Kendall test. RESULTS AND DISCUSSION: There were obvious differences in the spatial distributions of consecutive days of climate extremes in China. During 1961-2015, CSDI and CWD decreased significantly at rates of 0.9 and 0.1 days per decade respectively, while WSDI increased significantly at rate of 0.8 days per decade in China. Spatially, CSDI decreased at rates of 0-3.0 days per decade in almost all parts of China, and WSDI increased at rates of 0-2.0 days per decade in most parts of China. The spatial trends of CDD and CWD were significant only in several regions of China. CSDI and WSDI had higher percent changes than those of CDD and CWD. Changes in the CSDI and WSDI were associated with large-scale oceanic and atmospheric circulation oscillations, such as Atlantic Multidecadal Oscillation (AMO), El Niño/Southern Oscillation (ENSO) and Pacific Decadal Oscillation (PDO). With global warming, there will be fewer cold extremes, more frequent hot extremes and precipitation extremes. CONCLUSIONS: Given the increases in the frequency and intensity of some consecutive climatic extremes and an increasing physical exposure and socio-economic vulnerability to such extremes in China, more strategies and capacities of mitigation and adaptation to consecutive climatic extremes are essential for the local government and climate-sensitive sectors.

Micropathogen Community Analysis in Hyalomma rufipes via High-Throughput Sequencing of Small RNAs.

Ticks are important vectors in the transmission of a broad range of micropathogens to vertebrates, including humans. Because of the role of ticks in disease transmission, identifying and characterizing the micropathogen profiles of tick populations have become increasingly important. The objective of this study was to survey the micropathogens of Hyalomma rufipes ticks. Illumina HiSeq2000 technology was utilized to perform deep sequencing of small RNAs (sRNAs) extracted from field-collected H. rufipes ticks in Gansu Province, China. The resultant sRNA library data revealed that the surveyed tick populations produced reads that were homologous to St. Croix River Virus (SCRV) sequences. We also observed many reads that were homologous to microbial and/or pathogenic isolates, including bacteria, protozoa, and fungi. As part of this analysis, a phylogenetic tree was constructed to display the relationships among the homologous sequences that were identified. The study offered a unique opportunity to gain insight into the micropathogens of H. rufipes ticks. The effective control of arthropod vectors in the future will require knowledge of the micropathogen composition of vectors harboring infectious agents. Understanding the ecological factors that regulate vector propagation in association with the prevalence and persistence of micropathogen lineages is also imperative. These interactions may affect the evolution of micropathogen lineages, especially if the micropathogens rely on the vector or host for dispersal. The sRNA deep-sequencing approach used in this analysis provides an intuitive method to survey micropathogen prevalence in ticks and other vector species.

Effect of entecavir on CD4+ T-cell subpopulations in patients with chronic hepatitis B.

UNLABELLED:  Background and aims. CD4+ T cells play an important role in response to hepatitis B virus (HBV) infection. We investigated the change in CD4+ T-cell subpopulations and viral load in patients with chronic HBV infection who were treated with entecavir. MATERIAL AND METHODS: Thirty patients with chronic HBV infection were enrolled according to the criteria recommended by the Chinese Society of Infectious Diseases and the Chinese Society of Hepatology. The expressions of signature transcription factors and cytokines of CD4+ T-cell subpopulations were measured in chronic hepatitis B (CHB) patients treated with entecavir treatment. RESULTS: Entecavir treatment significantly attenuated hepatitis B virus DNA load and affected the CD4+ T-cell subsets in CHB patients. A dramatic decrease in the Th17 and Treg cell frequencies and expressions of their related cytokines were found in CHB patients with entecavir treatment. In contrast, entecavir treatment caused a remarkable increase in the Th2 cell frequencies and expressions of their related cytokines. CONCLUSION: Our results suggested that Th17 and Treg cells were the more sensitive subtypes to entecavir- induced inhibition of HBV replication compared to Th1 and Th2 cells in chronic HBV patients.

[Treating Type 2 Diabetes Mellitus Patients Complicated with Metabolic Syndrome by Benefiting Qi Dissolving Method].

Objective To observe clinical efficacy of Yiqi Huaju Recipe (YHR) combined routine Western medical treatment on type 2 diabetes mellitus (T2DM) patients complicated metabolic syndrome (MetS). Methods Totally 96 T2DM patients complicated MetS were assigned to the treatment group (YHR +routine Western drugs) and the control group (placebo +routine Western drugs) according to random digit table, 48 cases in each group. The therapeutic course for all was 12 weeks. Body mass index (BMI) , waistline, waist-hip ratio (WHR) , fasting plasma glucose (FPG) , 2 h postprandial plasma glucose (2 h PPG) , glycosylated hemoglobin A1c (HbAlc) , homeostasis model assessment of insulin resistance (HOMA-IR) , blood lipids, blood pressure, disease transformation of MetS, changes of con- stituent numbers were detected before and after treatment. Results BMI, WHR, waistline obviously decreased in the treatment group after treatment, with statistical difference as compared with the control group (P<0.01 , P <0.05). Post-treatment FPG, 2 h PPG, HbAlc, HOMA-IR, systolic blood pressure (SBP), diastolic blood pressure (DBP) , and mean artery pressure (MAP) obviously decreased in the two groups, but more obviously in the treatment group (P <0. 05). Post-treatment total cholesterol (TC) , low density lipoprotein cholesterol (LDL-C) , and triglycerides (TG) all obviously decreased in the two groups , but TG decreased more obviously in the treatment group (P <0. 05). High density lipoprotein cholesterol (HDL-C) obviously increased in the treatment group (P <0. 05). Patient numbers of central obesity, uncontrolled hypertension, and uncontrolled diabetes obviously decreased and constituent numbers were obviously reduced in the treatment group after treatment, with better efficacy than those of the control group (P <0. 01 , P <0. 05). Conclusions YHR plus routine Western drugs could further reduce blood glucose, and had comprehensive interventional effects on multiple cardiovascular risk factors such as central obesity, blood lipids, and blood pressure in T2DM patients complicated with MetS. Its mechanism might be possibly correlated with improving insulin resistance and elevating insulin sensitivity of peripheral tissues.

[Effects of Nourishing Yin Removing Fire Chinese Herbs on Gene Expression of Hypothalamic Ghrelin and its Receptor in Female Precocious Rats].

OBJECTIVE: To observe the effect of nourishing yin removing fire Chinese herbs (NYRF-CH) on the gene expression of hypothalamic growth hormone secretion peptide (Ghrelin) and its receptor growth hormone secretion peptide receptor 1alpha (GHSR1-alpha) at the puberty onset of danazol induced female precocious rats. METHODS: Forty female SD rats were randomly divided into 4 groups, i.e., the normal group (N), the model group (M), the normal saline intervention group (NS), and the NYRFCH intervention group (NI), 10 in each group. 300 microg danazol was subcutaneously injected to all rats except those in the N group to prepare precocious rat model. NYRFCH and normal saline was respectively administered to rats in the NI and the NS group from the 15th day old for 7-10 days. No treatment was given to rats in the N group. Time of rats' vulva opening was recorded. Ovary index and uterus index were calculated. Peripheral blood levels of estradiol (E2), follicle stimulating hormone (FSH), and luteinizing hormone (LH), and hypothalamic contents of gonadotropin releasing hormone (GnRH) as well as the gene expression of hypothalamic Ghrelin and GHSR1-alpha were determined. Results Compared with the N group, the vulva opening time was advanced in the model group; peripheral blood levels of E2 and LH, uterus index, hypothalamic contents of GnRH increased; peripheral blood FSH levels and mRNA levels of hypothalamic Ghrelin and GHSR1-alpha decreased (P < 0.05, P < 0.01). Compared with the M group and the NS group, the vulva opening time was not advanced in the NI group; peripheral blood levels of E2 and LH, uterus index and hypothalamic contents of GnRH obviously decreased (P < 0.05, P < 0.01); mRNA levels of hypothalamic Ghrelin and GHSR1-alpha increased (all P < 0.01). But there was no statistical difference in the hypothalamic contents of Ghrelin, or the number and activity of GHSR1-alpha (P > 0.05). CONCLUSION: NYRFCH had regulatory effect on regulating hypothalamic Ghrelin and GHSR1-alpha at gene transcription levels.