Chondroitin sulfate

硫酸软骨素
  • 文章类型: Journal Article
    Background: The majority of clinical practice guidelines do not recommend the use of SYSADOA (Symptomatic Slow Action Drugs for Osteoarthritis) for the treatment of osteoarthritis because of the lack of evidence or uncertainty around their efficacy. Nevertheless, the Spanish Public Health Service continues funding these drugs. Aim: The aim of this study is to describe the prescription status of SYSADOA in the primary care units of the Basque Country during 2011; to determine if variability exists among them; and to examine if the variability could be explained by the health care region each PC unit belongs to. Methods: Prescription data for SYSADOA during 2011 was obtained from the Basque Ministry for Health. In the Basque Country, primary care is divided into seven regions, each region consisting of several primary care units, which were used as the unit of analysis. Defined daily doses (DDD) per 1,000 inhabitant-days (DHD) were calculated. Data were standardized by sex and age using the total population of the Basque Country as the reference population. Small area statistics were calculated (extremal quotient, coefficient of variation and systematic component of variation). The influence of the region to which primary care units belonged was also analysed. R software (version R-2.15.0) was used for the analysis. Results: SYSADOA prescription during 2011 accounted for an expense of 4.5 million euros for the Basque Health Service. The crude rate of consumption of SYSADOA was 7.81 DDD per 1,000 inhabitant-days. The obtained external quotient was 13.67. The prescription of SYSADOA of the primary care units located in the 95th percentile was six times higher than the ones located in the 5th percentile. The region to which units belonged accounted for 57% of the observed variability. Discussion: The uncertainty around these drugs could be reflected in the existing variability of their prescription level. The analysis of the variability in the prescription of drugs with no demonstrated efficacy could help in allocating resources into other services or health technologies supported by evidence, thereby contributing to the improvement of health outcomes.
    导出

    更多引用

    收藏

    翻译标题摘要

    我要上传

       PDF(Pubmed)

  • 文章类型: Journal Article
    We report distinctive spectroscopic fingerprints of the monosaccharide standards GalNAc4S and GalNAc6S by coupling mass spectrometry and ion spectroscopy in the 3-μm range. The disaccharide standards CSA and CSC are used to demonstrate the applicability of a novel approach for the analysis of sulfate position in GalNAc-containing glycosaminoglycans. This approach was then used for the analysis of a sample containing CSA and CSC disaccharides. Finally, we discuss the generalization of the coupling of mass spectrometry with ion spectroscopy for the structural analysis of glycosaminoglycans on a tetrasaccharide from dermatan sulfate source. Graphical abstract ᅟ.
    导出

    更多引用

    收藏

    翻译标题摘要

    我要上传

       PDF(Sci-hub)

  • 文章类型: Journal Article
    这项工作的目的是检查硫酸软骨素(CHON)基纳米颗粒(NP)的形成和性质,即CHON/壳聚糖(CHIT),CHON/CHIT/降钙素(sCT)和CHON/sCT。两者,带正电荷和负电荷的CHON/CHITNP已成功获得,其性能取决于聚合物混合比,CHIT的聚合物浓度和分子量。sCT成功地装载到CHON/CHITNP中,其效率接近100%,并且显著地高装载(高达33%)。已成功开发出一种由CHON和sCT(二元系统)组成的新型NP。CHON/sCTNP提供了高达73%的非常高的载药量的优势。PBS中基于CHON的NP的粒径增加,醋酸盐缓冲液和HCl溶液与水中相比,但它们中的大多数甚至在24h后仍保持在纳米范围内。发现纳米载体的介质和组成影响sCT的释放。
    The aim of this work was to examine the formation and properties of chondroitin sulfate (CHON)-based nanoparticles (NPs), namely CHON/chitosan (CHIT), CHON/CHIT/calcitonin (sCT) and CHON/sCT. Both, positively and negatively charged CHON/CHIT NPs have been successfully obtained with properties that were dependent on the polymer mixing ratio, polymer concentration and molecular weight of CHIT. sCT was successfully loaded into CHON/CHIT NPs with efficiency close to 100% and notably high loading (up to 33%). A new type of NPs composed of CHON and sCT (a binary system) has been successfully developed. CHON/sCT NPs offer the advantage of a very high drug loading up to 73%. The particle size of CHON-based NPs increased in PBS, acetate buffer and in HCl solution compared to that in water, but most of them remained in the nano-range even after 24h. The media and composition of the nanocarriers were found to affect the release of sCT.
    导出

    更多引用

    收藏

    翻译标题摘要

    我要上传

       PDF(Sci-hub)

  • 文章类型: Journal Article
    OBJECTIVE: Urinary tract infections (UTIs) are common in the female population and, over a lifetime, about half of women have at least one episode of UTI requiring antibiotic therapy. The aim of the current study was to compare two different strategies for preventing recurrent bacterial cystitis: intravesical instillation of hyaluronic acid (HA) plus chondroitin sulfate (CS), and antibiotic prophylaxis with sulfamethoxazole plus trimethoprim.
    METHODS: This was a retrospective review of two different cohorts of women affected by recurrent bacterial cystitis. Cases (experimental group) were women who received intravesical instillations of a sterile solution of high concentration of HA + CS in 50 mL water with calcium chloride every week during the 1(st) month and then once monthly for 4 months. The control group included women who received traditional therapy for recurrent cystitis based on daily antibiotic prophylaxis using sulfamethoxazole 200 mg plus trimethoprim 40 mg for 6 weeks.
    RESULTS: Ninety-eight and 76 patients were treated with experimental and control treatments, respectively. At 12 months after treatment, 69 and 109 UTIs were detected in the experimental and control groups, respectively. The proportion of patients free from UTIs was significantly higher in the experimental than in the control group (36.7% vs. 21.0%; p = 0.03). Experimental treatment was well tolerated and none of the patients stopped it.
    CONCLUSIONS: The intravesical instillation of HA + CS is more effective than long-term antibiotic prophylaxis for preventing recurrent bacterial cystitis.
    导出

    更多引用

    收藏

    翻译标题摘要

    我要上传

       PDF(Sci-hub)

公众号