Highly sensitive antibiotic sensing based on optical weak value amplification: A case study of chloramphenicol.

The public health concern of antibiotic residues in animal-origin food has been a long-standing issue. In this work, we present a novel method for antibiotic detection, leveraging optical weak value amplification and harnessing an indirect competitive inhibition assay, which significantly boosts the system's sensitivity in identifying small molecule antibiotics. We chose chloramphenicol as a model compound and mixed it with chloramphenicol-bovine serum albumin conjugates to bind to the chloramphenicol antibody competitively. We achieved a broad linear detection range of up to 3.24 ng/mL and a high concentration resolution of 33.20 pg/mL. To further validate the universality of our proposed detection methodology, we successfully applied it to testing gibberellin and tetracycline. Moreover, we conducted regeneration experiments and real-sample correlation studies. This study introduces a novel strategy for the label-free optical sensing of small molecule antibiotics, greatly expanding the range of applications for sensors utilizing optical weak value amplification.

Optical Label-Free Aptasensor Based on Weak Value Amplification for Real-Time and Ultrasensitive Detection of IgE.

Allergy is a prevalent disease, and the potential allergic population is expanding with industrialization and changes in people's living standards. Serum immunoglobulin E (IgE) level is one of the critical indicators for determining allergy. Here, we proposed a simple, real-time monitoring, low chip cost, label-free aptamer biosensing strategy based on weak value amplification (WVA) for the quantitative detection of IgE in serum samples, enabling early and accurate diagnosis of allergic or hypersensitive patients. The aptasensor combined an imaging weak measurement system with the high specificity of the aptamer for the marker IgE. By modifying the amino group at the 3-terminal end, the anti-IgE aptamers can attach to a dopamine-modified prism's surface and selectively recognize IgE in human serum. In the presence of IgE, a specific binding reaction occurred, resulting in a change in the refractive index of the reactive region's surface, manifested as a change in the light intensity of the camera acquired experimental images. As the concentration of IgE increased, the relative light intensity advanced sequentially. The WVA-aptasensing strategy achieved a wide detection range of 0.01 ng/mL to 2 µg/mL in phosphate buffered saline buffer, with the resolution as low as 4.3 pg/mL. IgE testing experiments in human serum have proved the feasibility of our methods in detecting complex samples. In addition, the method specifically recognized IgE without interference from other proteins. We believe that our proposed sensing strategy opens up new possibilities for ultrahigh sensitivity screening of IgE and can be expanded to detecting other biomolecules.

Unpacking the effects of natural gas price transmission on electricity prices in Nordic countries.

Since the Russia-Ukraine war in February 2022, European electricity prices have experienced considerable turbulence, primarily attributed to a shortage in the natural gas supply. We investigate the relationship between natural gas prices in the European continent and electricity prices in Nordic countries before and after the outbreak of war. Despite the low proportion of natural gas electricity generation, the empirical analysis reveals both direct and indirect transmission paths for natural gas prices in Nordic countries. Meanwhile, the theoretical analysis demonstrates how Nordic renewable (wind and solar) and other non-gas generators exercise market power through price bidding in the anticipation of an increase in gas prices or a shortage of gas supply, which results in higher electricity prices. Understanding the underlying factors and dynamics driving substantial price fluctuations in the Nordic electricity market is essential for comprehending the intricate interconnections within the European energy landscape.

Realization of high-performance biosensor through sandwich analysis utilizing weak value amplification.

A label-free optical sandwich immunoassay sensor, utilizing weak value amplification and total internal reflection, was devised for real-time, high-sensitivity analysis and detection of low-concentration targets. 3D printed channels and sodium chloride solution were employed to ensure reproducibility, reliability, and stability of the measurements for calibration. The sandwich structure demonstrated enhanced responsiveness in the proposed optical biosensor through a comparative analysis of the direct assay and sandwich assay for detecting alpha-fetoprotein (AFP) at the same concentration. By optimizing the binding sequences of the coating antibody, target, and detection antibody in the sandwich method, a more suitable sandwich sensing approach based on weak value amplification was achieved. With this approach, the limit of detection (LOD) of 6.29 ng/mL (pM level) for AFP in PBS solution was achieved. AFP testing and regeneration experiments in human serum have proved the feasibility of our methods in detecting complex samples and the reusability of sensing chips. Additionally, the method demonstrated excellent selectivity for unpaired antigens. The efficacy of this methodology was evaluated by simultaneously detecting AFP, carcinoembryonic antigen (CEA), and CA15-3 on a singular sensor chip. In conclusion, the label-free sandwich immunoassay sensing scheme holds promise for advancing the proposed optical sensors based on weak value amplification in early diagnosis and prevention applications. Compared to other biomarker detection methods, it will be easier to promote in practical applications.

Multi role ChatGPT framework for transforming medical data analysis.

The application of ChatGPTin the medical field has sparked debate regarding its accuracy. To address this issue, we present a Multi-Role ChatGPT Framework (MRCF), designed to improve ChatGPT's performance in medical data analysis by optimizing prompt words, integrating real-world data, and implementing quality control protocols. Compared to the singular ChatGPT model, MRCF significantly outperforms traditional manual analysis in interpreting medical data, exhibiting fewer random errors, higher accuracy, and better identification of incorrect information. Notably, MRCF is over 600 times more time-efficient than conventional manual annotation methods and costs only one-tenth as much. Leveraging MRCF, we have established two user-friendly databases for efficient and straightforward drug repositioning analysis. This research not only enhances the accuracy and efficiency of ChatGPT in medical data science applications but also offers valuable insights for data analysis models across various professional domains.

Lemierre's syndrome complicating multiple organ failure caused by Fusobacterium necrophorum subsp. funduliforme F1260: Case report and review.

We described a case of a 24-year-old man with multiple organ failure caused by Fusobacterium necrophorum subsp. funduliforme F1260. This is the first described case of Lemierre's syndrome with multiple organ failure due to F. necrophorum subsp. funduliforme F1260 in an adult in China. Our study highlights that there may be a risk of misdiagnosis based solely on typical manifestations of internal jugular vein thrombophlebitis, metastatic lesions, and F. necrophorum isolated from blood cultures or normally sterile sites. Clinicians should be cognizant of the potential utility of metagenomic next-generation sequencing in facilitating early pathogen detection in severe infections, thus enabling timely and appropriate administration of antibiotics to reduce mortality rates and improve prognosis.

Storage of plasma-derived exosomes: evaluation of anticoagulant use and preserving temperatures.

Exosomes carry large cargo of proteins, lipids, and nucleic acids, serving as versatile biomarkers for disease diagnosis and vehicles for drug delivery. However, up to date, no well recognized standard procedures for exosome storage were available for clinical application. This study aimed to determine the optimal storage conditions and the anticoagulants for plasma-derived exosome isolation. Fresh whole blood samples were collected from healthy participants and preserved in four different anticoagulants including sodium citrate (SC1/4), sodium citrate (SC1/9), lithium heparin (LH), or Ethylenediamine tetraacetic acid (EDTA), respectively. Exosomes were extracted from the plasma by differential ultracentrifugation and stored at three different temperatures, 4°C, -20°C or - 80°C for a duration ranging from one week to six months. All plasma samples for storage conditions comparison were pretreated with LH anticoagulant. Exosome features including morphological characteristics, pariticles size diameter, and surface protein profiles (TSG101, CD63, CD81, CD9, CALNEXIN) were assessed by transmission electron microscopy, Nanoparticle Tracking Analysis, and Western Blotting, respectively. Exosomes preserved in LH and SC1/4 group tended to remain intact microstructure with highly abundant protein biomarkers. Exosomes stored at 4°C for short time were prone to be more stable compared to thos at -80°C. Exosomes stored in plasma were superior in terms of ultrastructure, size diameter and surface protein expression to those stored in PBS. In conclusion, plasma-dervied exosome characteristics strictly depend on the anticoagulants and storage temperature and duration.

What is the context? Effective isolation of exosomes is a prerequisite for subsequent investigation into its involvemnt in disease development as well as potentialtherapeutic applications.Anticoagulants, storage temperature and durations might change the microscopical structure, integrity and also the stability of plasma-derived exosomes. However, no internationally recognized standard of exosome storage procedure was available for clinical use.What is new? Our finding evaluated the effect of anticoagulants and storage on plasma exosome characteristics.Exosomes isolated from plasma preserved with Li-heparin and sodium citrate (1/4) showed better physical properties and surface marker protein expression.Isolated exosomes appeared more stable in a short time for 4°C compared to −80°C. Storage of exosomes in plasma showed better physical properties and surface marker protein expression than in PBS.What is the impact? Our findings inform the significance of standardizing procedure of exosome isolation and preservation.

Three-axis angle measurement method based on an optical wedge.

A three-axis angle measurement method is proposed using an optical wedge as a reflector. In this paper, the mathematical model of three-axis angle solving corresponding to the method is derived, and it is verified and corrected by establishing an optical simulation model, and, finally, the feasibility and measurement accuracy of the method are verified by using a principle prototype. The experimental results show that the RMS values of the measurement errors of pitch angle α, yaw angle ß, and roll angle γ are 6.27 ' ' , 4.35 ' ' , and 17.68 ' ' , respectively, within the measurement range of ±2∘, and the measurement accuracy is insensitive to the measurement distance.

[Expression and diagnostic value of growth differentiation factor 15 in patients with septic cardiomyopathy].

OBJECTIVE: To explore the expression of growth differentiation factor 15 (GDF15) in patients with septic cardiomyopathy and its value in the diagnosis of septic cardiomyopathy. METHODS: A observational study was conducted. Fifty patients with septic cardiomyopathy admitted to Shanxi Bethune Hospital from May 2022 to March 2023 were selected as the experimental group. Forty-six patients with acute coronary syndrome (ACS) in the same period were selected as the case control group. Forty-nine healthy adults were selected as the healthy control group, who underwent physical examination in the physical examination center during the same period. The demographic data and clinical indicators of the subjects were recorded, and the serum GDF15 level was detected by double sandwich enzyme-linked immunosorbent assay (ELISA). And the 28-day outcome of patients with septic cardiomyopathy was followed up, and they were divided into survival group and death group. The serum GDF15 level of subjects in each group and its correlation with clinical indicators were analyzed and compared. Binary Logistic regression was used to analyze the risk factors of septic cardiomyopathy. Receiver operator characteristic curve (ROC curve) was used to evaluate the value of GDF15 in the diagnosis of septic cardiomyopathy. RESULTS: The serum GDF15 level of experimental group was significantly higher than that in the case control group and healthy control group [ng/L: 314.14 (221.96, 469.56) vs. 39.08 (26.27, 76.85), 6.39 (3.35, 14.42), both P < 0.01]. Correlation analysis showed that serum GDF15 level in patients with septic cardiomyopathy were correlated with cardiac troponin I (cTnI, r = 0.295, P = 0.038), brain natriuretic peptide (BNP, r = 0.464, P = 0.009), sequential organ failure assessment (SOFA, r = 0.363, P = 0.010) and acute physiology and chronic health evaluation II (APACHE II, r = 0.316, P = 0.025). However, there was no significant correlation with white blood cell count, neutrophil count, lymphocyte count, procalcitonin, C-reactive protein, lactic acid, albumin and other clinical indicators (r values were 0.086, 0.123, -0.051, 0.055, 0.119, 0.199, -0.234, all P > 0.05). Serum GDF15 level, SOFA score and APACHE II score in the death group (30 cases) were significantly higher than those in the survival group [20 cases; GDF15 (ng/L): 382.93±159.61 vs. 289.66±158.46, SOFA: 10.00 (7.00, 12.00) vs. 6.00 (5.00, 9.50), APACHE II: 21.70±6.07 vs. 14.85±7.57, all P < 0.05]. Binary Logistic regression analysis showed that serum GDF15 was an independent risk factor for the onset of septic cardiomyopathy [odds ratio (OR) = 1.062, 95% confidence interval (95%CI) was 1.011-1.115, P = 0.016]. ROC curve showed that the area under the curve (AUC) of GDF15 for predicting septic cardiomyopathy was 0.971, the specificity was 100%, and the sensitivity was 90.3%. CONCLUSIONS: The serum GDF15 level of patients with septic cardiomyopathy is significantly increased, and GDF15 may be used as an effective biomarker for the early diagnosis of septic cardiomyopathy.

An ultra-sensitive biosensor based on surface plasmon resonance and weak value amplification.

An ultra-sensitive phase plasmonic sensor combined with weak value amplification is proposed for the detection of IgG, as a model analyte. Phase detection is accomplished by self-interference between the p-polarization and the s-polarization of the light. With the principles of weak value amplification, a phase compensator is used to modulate the coupling strength and enhance the refractive index sensitivity of the system. On a simple Au-coated prism-coupled surface plasmon resonance (SPR) structure, the scheme, called WMSPR, achieves a refractive index sensitivity of 4.737 × 104 nm/RIU, which is about three times higher than that of the conventional phase-based approach. The proposed WMSPR biosensor gives great characteristics with a high resolution of 6.333 × 10-8 RIU and a low limit of detection (LOD) of 5.3 ng/mL. The results yield a great scope to promote the optimization of other SPR biosensors for high sensitivity.

Gene signatures to therapeutics: Assessing the potential of ivermectin against t(4;14) multiple myeloma.

BACKGROUND: Multiple myeloma (MM) is a terminal differentiated B-cell tumor disease characterized by clonal proliferation of malignant plasma cells and excessive levels of monoclonal immunoglobulins in the bone marrow. The translocation, (t)(4;14), results in high-risk MM with limited treatment alternatives. Thus, there is an urgent need for identification and validation of potential treatments for this MM subtype. Microarray data and sequencing information from public databases could offer opportunities for the discovery of new diagnostic or therapeutic targets. AIM: To elucidate the molecular basis and search for potential effective drugs of t(4;14) MM subtype by employing a comprehensive approach. METHODS: The transcriptional signature of t(4;14) MM was sourced from the Gene Expression Omnibus. Two datasets, GSE16558 and GSE116294, which included 17 and 15 t(4;14) MM bone marrow samples, and five and four normal bone marrow samples, respectively. After the differentially expressed genes were identified, the Cytohubba tool was used to screen for hub genes. Then, the hub genes were analyzed using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis. Using the STRING database and Cytoscape, protein-protein interaction networks and core targets were identified. Potential small-molecule drugs were identified and validated using the Connectivity Map database and molecular docking analysis, respectively. RESULTS: In this study, a total of 258 differentially expressed genes with enriched functions in cancer pathways, namely cytokine receptor interactions, nuclear factor (NF)-κB signaling pathway, lipid metabolism, atherosclerosis, and Hippo signaling pathway, were identified. Ten hub genes (cd45, vcam1, ccl3, cd56, app, cd48, btk, ccr2, cybb, and cxcl12) were identified. Nine drugs, including ivermectin, deforolimus, and isoliquiritigenin, were predicted by the Connectivity Map database to have potential therapeutic effects on t (4;14) MM. In molecular docking, ivermectin showed strong binding affinity to all 10 identified targets, especially cd45 and cybb. Ivermectin inhibited t(4;14) MM cell growth via the NF-κB pathway and induced MM cell apoptosis in vitro. Furthermore, ivermectin increased reactive oxygen species accumulation and altered the mitochondrial membrane potential in t(4;14) MM cells. CONCLUSION: Collectively, the findings offer valuable molecular insights for biomarker validation and potential drug development in t(4;14) MM diagnosis and treatment, with ivermectin emerging as a potential therapeutic alternative.

Uncovering the key factors influencing sustainable green production behavior among Chinese medicinal herb growers.

Promoting green production behavior among farmers is crucial for enhancing income, improving industrial efficiency, and ensuring ecological security. This study analyzes the determinants of green production behavior among farmers in Cheifeng, China, Using a binary logistic model on a sample of 860 microdata. The result of empirical analysis pointed out that the implementation rate of rural households was low at 54.5 %, highlighting the need for intervention. The results suggest that age, party members, total income, total area, irrigation conditions, market, policy, social factors, and knowledge transfer ability significantly influence green production behavior. Among these factors, age, party member, total area, irrigation conditions, and knowledge transfer ability have negative effects, while other factors positively affect green production. To promote green production behavior, this study recommends improving access to information, developing a training system, enhancing quality and safety information disclosure, establishing traceability mechanisms, and providing policy subsidies. This stud also highlights the need to strengthen publicity, technical guidance, and media persuasion for promoting the green production of Chinese medicinal materials.

Evaluating the Microheterogeneous Distribution of Photochemically Generated Singlet Oxygen Using Furfuryl Amine.

Singlet oxygen (1O2) is an important reactive species in natural waters produced during photolysis of dissolved organic matter (DOM). Prior studies have demonstrated that 1O2 exhibits a microheterogeneous distribution, with [1O2] in the interior of DOM macromolecules ∼30 to 1000-fold greater than in bulk solution. The [1O2] profile for DOM-containing solutions has been determined mainly by the use of hydrophobic probes, which are not commercially available. In this study, we employed a dual-probe method combining the widely used hydrophilic 1O2 probe furfuryl alcohol (FFA) and its structural analogue furfuryl amine (FFAm). FFAm exists mainly as a cation at pH <9 and was therefore hypothesized to have an enhanced local concentration in the near-DOM phase, whereas FFA will be distributed homogeneously. The probe pair was used to quantify apparent [1O2] in DOM samples from different isolation procedures (humic acid, fulvic acid, reverse osmosis) and diverse origins (aquatic and terrestrial) as a function of pH and ionic strength, and all samples studied exhibited enhanced reactivity of FFAm relative to FFA, especially at pH 7 and 8. To quantify the spatial distribution of [1O2], we combined electrostatic models with Latch and McNeill's three-phase distribution model. Modeling results for Suwannee River humic acid (SRHA) yield a surface [1O2] of ∼60 pM, which is ∼96-fold higher than the aqueous-phase [1O2] measured with FFA. This value is in agreement with prior reports that determined 1-3 orders of magnitude higher [1O2] in the DOM phase compared to bulk solution. Overall, this work expands the knowledge base of DOM microheterogeneous photochemistry by showing that diverse DOM isolates exhibit this phenomenon. In addition, the dual-probe approach and electrostatic modeling offer a new way to gain mechanistic insight into the spatial distribution of 1O2 and potentially other photochemically produced reactive intermediates.

Ultra-precise weak measurement-based interfacial biosensors.

In this study, an interfacial biosensing scheme with ultra-precision is proposed. The scheme uses weak measurement techniques to ensure ultra-high sensitivity of the sensing system while improving the stability of the system through self-referencing and pixel point averaging, thus achieving ultra-high detection accuracy of biological samples. In specific experiments, we have used the biosensor in this study to perform specific binding reaction experiments for protein A and Mouse IgG with a detection line of 2.71 ng/mL for IgG. In addition, the sensor is non-coated, simple in structure, easy to operate, and low in cost of use.

Corrigendum: RAB42 promotes glioma pathogenesis via the VEGF signaling pathway.

[This corrects the article DOI: 10.3389/fonc.2021.657029.].

Clinicopathological characteristics and prognostic significance of HDAC11 protein expression in non-small cell lung cancer: a retrospective study.

Background: Although the prognosis of non-small cell lung cancer (NSCLC) can be assessed based on pathological type, disease stage and inflammatory indicators, the prognostic scoring model of NSCLC still needs to improve. HDAC11 is associated with poor prognosis of partial tumors, but its prognostic relationship with NSCLC is poorly understood. In this study, the role of HDAC11 in NSCLC was studied to evaluate relationship with disease prognosis and potential therapeutic target. Methods: The clinicopathological and paracancerous tissues of patients with NSCLC primarily diagnosed in Tangdu Hospital from 2009 to 2013 were collected. Follow-up of patients were made every three months and the last follow-up period was December 2018. The expression of HDAC11 was assessed by immunohistochemistry (IHC). Then, weighted gene co-expression network analysis (WGCNA) was used to analyze the relationship between HDAC11 expression and the prognosis of lung adenocarcinoma (LUAD) patients. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Kaplan-Meier plotter database was used to verify the connection between hub genes and tumor stage and prognosis. We accessed the relationship between HDAC11 expression and clinicopathological features, and impact on the prognosis. Results: The study assessed 326 patients with NSCLC. Compared with adjacent tissues, HDAC11 expression was upregulated (HR =1.503, 95% CI: 1.172 to 1.927, P=0.001). Kaplan-Meier survival analyses showed that HDAC11 expression was closely related to OS of NSCLC patients (P=0.0011). Univariate and multivariate analyses showed that the independent risk factors of OS were clinical stage, HDAC11 expression, and HDAC11 differentiation (all P≤0.001). HDAC11 was significantly associated with prognosis in LUAD. A total of 1,174 differential genes and WGCNA were obtained to construct a co-expression network in LUAD. The GO and KEGG pathway enrichment analyses showed the relevance with staphylococcus aureus infection, NOD-like receptor signaling pathway, and others. The results of LUAD survival analysis showed that HDAC11-related genes NKX2-5 and FABP7 were significantly associated with LUAD prognosis. Conclusions: The high expression of HDAC11 is related to the poor prognosis of LUAD, and it is expected to become a therapeutic target and prognostic evaluation therapy for LUAD in the future. However, the relevant results need to be further studied and verified.

A fatal case of pneumonia and sepsis caused by sequence type 398 methicillin-susceptible Staphylococcus aureus carrying Pantone-Valentine leukocidin in China.

Staphylococcus aureus (S. aureus) sequence type 398 (ST398) has aroused great concern for its spread throughout the world. ST398 community-acquired MRSA (CA-MRSA) has been given greater emphasis because of its high virulence and high probability of treatment failure. Herein, A 22-year-old male was admitted to our hospital with a history of fever, chest pain and dyspnea for 2 days. A chest CT scan showed infiltrative and nodular shadows. The sequence type of the isolates from blood culture was ST398, the virulence genes detected was PVL gene (lukS-PV and lukF-PV). Despite resuscitation efforts, he died of multiple organ failure on admission 3rd day. This is the first described case of severe pneumonia and sepsis due to hematogenous spread of scalp furuncles caused by Panton-Valentine leukocidin (PVL) positive community-acquired methicillin-susceptible S. aureus (CA-MSSA) ST398 strains in an immunocompentent adult in mainland China. This report highlight the emergence CA-PVL-MSSA ST398 infection and its association with life-threatening infections. Early decolonization and identification of ST398 is critical. Severe skin and soft tissue infections should be suspected for ST398 PVL-MSSA.

Impact of Dairy Imports on Raw Milk Production Technology Progress in China.

China's dairy product import volume and output continue to grow rapidly, and to a certain extent, it will form a substitute for the Chinese dairy market. Therefore, it is necessary to study the impact of the import of dairy products on the technological progress of raw milk production in China. Using the data from 2005 to 2017, this paper uses the DEA model and the input-output model to analyze the impact of China's dairy product imports on the technological progress of raw milk production. The model results show that: (1) there are differences in the technological content of dairy products from different importing countries; (2) The total technological content of imported dairy products hinders the improvement of the technological progress index of small, medium and large-scale production of raw milk in China, and has the most prominent negative impact on the technological progress of large-scale raw milk production in China; (3) The technological content of dairy products imports from New Zealand, Australia, Germany, the Netherlands and other countries can help improve the technological progress index of China's moderate-scale production of raw milk, while importing countries from the United States, Canada and other countries hinder it.

Puerarin specifically disrupts osteoclast activation via blocking integrin-ß3 Pyk2/Src/Cbl signaling pathway.

OBJECTIVE: Given the limitations of current anti-resorption agents for postmenopausal osteoporosis, there is a need for alternatives without impairing coupling crosstalk between bone resorption and bone formation ie. osteoclastogenesis. Puerarin, a unique C-glycoside isoflavonoid, was found to be able to prevent bone loss by inhibiting bone resorption, but the underlying mechanism was controversial. In this study, we investigated the effects of puerarin on osteoclastic differentiation, activation and bone resorption and its underlying molecular mechanism in vitro, and then evaluated the effects of puerarin on bone metabolism using an ovariectomized (OVX) rat model. METHODS: In vitro, the effect of puerarin on osteoclastic cytotoxicity, differentiation, apoptosis, activation and function were studied in raw 264.7 â€‹cells and mouse BMMs. Mechanistically, osteoclast-related makers were determined by RT-PCR, western blot, immunofluorescence, and kinase activity assay. In vivo, Micro-CT, histology, serum bone biomarker, and mechanical testing were used to evaluate the effects of puerarin on preventing osteoporosis. RESULTS: Puerarin significantly inhibited osteoclast activation and bone resorption, without affecting osteoclastogenesis or apoptosis. In terms of mechanism, the expressions of protein of integrin-ß3 and phosphorylations of Src, Pyk2 and Cbl were lower in puerarin group than those in the control group. Oral administration of puerarin prevented OVX-induced trabecular bone loss and significantly improved bone strength in rats. Moreover, puerarin significantly decreased trap positive osteoclast numbers and serum TRAP-5b, CTx1, without affecting bone formation rate. CONCLUSIONS: Collectively, puerarin prevented the bone loss in OVX rat through suppression of osteoclast activation and bone resorption, by inhibiting integrin-ß3-Pyk2/Cbl/Src signaling pathway, without affecting osteoclasts formation or apoptosis. TRANSLATIONAL POTENTIAL OF THIS ARTICLE: These results demonstrate the unique mechanism of puerarin on bone metabolism and provide a novel agent for prevention of postmenopausal osteoporosis.

Cryptococcal Meningitis in a Patient with Sjogren's Syndrome: a Case Report.

BACKGROUND: Cryptococcal meningitis (CM) is a life-threatening infectious disease and causes high morbidity and mortality. No information about Cryptococcal meningitis in populations with Sjogren's syndrome (SS) was available. METHODS: This report details the first case of Cryptococcal meningitis in a 75-year-old female patient with 10-years history of Sjogren's syndrome. RESULTS: Detailed findings of C. neoformans from CSF examinations, including routine examination, India ink stain, immunological test, culturing, mass spectrum analysis and molecular biology identification were all delineated in this case, which facilitated understanding of detection methods in C. neoformans infection. The etiological exploration was initiated from a positive finding of yeast cells in routine examination of unstained CSF in the present case. Morphology description of C. neoformans in unstained CSF was depicted for the first time. CONCLUSIONS: Clinicians should consider the possible complication of Cryptococcal meningitis when patients with Sjogren's syndrome show neurological symptoms. Importance of screening yeast cells from unstained CSF for routine examination was emphasized, which may reduce errors in cell counting and trigger further etiological ex-ploration of C. neoformans infection in laboratory and clinical practice.