Optical method supported by machine learning for dynamics of C-reactive protein concentrations changes detection in biological matrix samples

In this article we present the novel spectroscopy method supported with machine learning for real-time detection of infectious agents in wastewater. In the case of infectious diseases, wastewater monitoring can be used to detect the presence of inflammation biomarkers, such as the proposed C-reactive protein, for monitoring inflammatory conditions and mass screening during epidemics for early detection in communities of concern, such as hospitals, schools, and so on. The proposed spectroscopy method supported with machine learning for real-time detection of infectious agents will eliminate the need for time-consuming processes, which contribute to reducing costs. The spectra in range 220-750 nm were used for the study. We achieve accuracy of our prediction model up to 68% with using only absorption spectrophotometer and machine learning. The use of such a set makes the method universal, due to the possibility of using many different detectors.

Quantification of Oligonucleotides Using Tandem Mass Spectrometry with Isobaric Internal Standards

In recent years, oligonucleotides have become more important in research, drug approvals and medical therapies. Due to this growing interest in pharmaceutical applications, it is essential to develop reliable analytical methods for this substance class. In this work, we present a quantification method using liquid chromatography coupled with tandem mass spectrometry by applying an isobaric oligonucleotide standard. In addition to a proof of principle, we perform a method qualification to assess its readiness for validation according to ICH Q2 guidelines. In addition to good linearity, sensitivity, accuracy and recovery, the method showed no significant matrix effects. Furthermore, we demonstrated the application of the method by applying the quantification in a biological matrix, as well as an exemplary degradation of an oligonucleotide in bovine plasma.

Green-Mediated Synthesis of NiCo2O4 Nanostructures Using Radish White Peel Extract for the Sensitive and Selective Enzyme-Free Detection of Uric Acid

The ability to measure uric acid (UA) non-enzymatically in human blood has been demonstrated through the use of a simple and efficient electrochemical method. A phytochemical extract from radish white peel extract improved the electrocatalytic performance of nickel-cobalt bimetallic oxide (NiCo2O4) during a hydrothermal process through abundant surface holes of oxides, an alteration of morphology, an excellent crystal quality, and increased Co(III) and Ni(II) chemical states. The surface structure, morphology, crystalline quality, and chemical composition were determined using a variety of analytical techniques, including powder X-ray diffraction (XRD), scanning electron microscopy (SEM), high-resolution transmission electron microscopy (HR-TEM), and X-ray photoelectron spectroscopy (XPS). The electrochemical characterization by CV revealed a linear range of UA from 0.1 mM to 8 mM, with a detection limit of 0.005 mM and a limit of quantification (LOQ) of 0.008 mM. A study of the sensitivity of NiCo2O4 nanostructures modified on the surface to UA detection with amperometry has revealed a linear range from 0.1 mM to 4 mM for detection. High stability, repeatability, and selectivity were associated with the enhanced electrochemical performance of non-enzymatic UA sensing. A significant contribution to the full outperforming sensing characterization can be attributed to the tailoring of surface properties of NiCo2O4 nanostructures. EIS analysis revealed a low charge-transfer resistance of 114,970 Ohms that offered NiCo2O4 nanostructures prepared with 5 mL of radish white peel extract, confirming an enhanced performance of the presented non-enzymatic UA sensor. As well as testing the practicality of the UA sensor, blood samples from human beings were also tested for UA. Due to its high sensitivity, stability, selectivity, repeatability, and simplicity, the developed non-enzymatic UA sensor is ideal for monitoring UA for a wide range of concentrations in biological matrixes.

Patient-Reported Outcomes and Complications Following Breast Reconstruction: A Comparison Between Biological Matrix-Assisted Direct-to-Implant and Latissimus Dorsi Flap

Background

Implant-based breast reconstruction is increasingly becoming the most common method of postmastectomy breast reconstruction in use today. As the traditional autologous reconstruction technique, latissimus dorsi flap (LDF) is employed by surgeons for reconstruction after breast cancer surgery, including partial mastectomy, modified radical mastectomy, and others. The authors aim to compare patient-reported outcomes (PROs) and complications between the SIS matrix-assisted direct-to-implant (DTI) breast reconstruction and the autologous LDF breast reconstruction.

Methods

Patients undergoing the SIS matrix-assisted DTI reconstruction or mastectomy with LDF reconstruction or partial mastectomy with mini latissimus dorsi flap (MLDF) reconstruction were enrolled in a single institution from August 2010 to April 2019. Patients were included for analysis and divided into three groups: those who underwent LDF reconstruction, those who underwent MLDF reconstruction, and patients who underwent SIS matrix-assisted DTI breast reconstruction. PROs (using the BREAST-Q version 2.0 questionnaire) and complications were evaluated.

Results

A total of 135 patients met the inclusion criteria: 79 patients (58.5%) underwent SIS matrix-assisted DTI, 29 patients (21.5%) underwent LDF breast reconstruction, and 27 patients (20%) underwent MLDF breast reconstruction. PROs and complication rates between LDF reconstruction group and MLDF reconstruction group showed no statistically significant differences. Furthermore, BREAST-Q responses found that patients in the whole autologous LDF reconstruction group had better psychosocial well-being, showing a mean score of 84.31 ± 17.28 compared with SIS matrix-assisted DTI reconstruction, with a mean score of 73.52 ± 19.96 (p = 0.005), and expressed higher sexual well-being (69.65 ± 24.64 vs. 50.95 ± 26.47; p = 0.016). But there were no statistically significant differences between the two groups for postoperative complications.

Conclusion

This retrospective study showed no statistically significant differences between LDF breast reconstruction and MLDF breast reconstruction. However, patients in the whole autologous LDF reconstruction group yielded superior PROs than patients in the SIS matrix-assisted DTI reconstruction group in the psychosocial well-being and sexual well-being domains.

Comparisons of Therapeutic and Aesthetic Effects of One-Stage Implant-Based Breast Reconstruction with and without Biological Matrix

Background

Biological matrix can provide coverage of compromised muscle and augment the subpectoral pocket in the one-stage reconstruction. However, few studies compared one stage implant-based breast reconstruction with and without biological matrix. The primary endpoint of our study was to assess the patient-reported outcomes (PROs) based on BREAST-Q version 2.0 and analyze complications between SIS matrix-assisted implant-based breast reconstruction (IBBR) and no-matrix-assisted IBBR.

Methods

This retrospective single-center study was conducted from May 2015 to April 2019, and we analyzed 155 patients who underwent one-stage IBBR with at least 1 year of follow-up. Seventy-nine patients underwent one-stage IBBR with SIS matrix group and 76 patients underwent one-stage IBBR without SIS matrix group were evaluated of PROs with BREAST-Q version 2.0 (from 3 different domains) and compared with complications. Complications occurred in patients were divided into major complications and minor complications.

Results

In the satisfaction domain, the mean score for satisfaction with breasts was 60.27 (17.71) in the SIS matrix group and 54.49 (14.76) in the no-matrix group, p=0.045. The multivariate logistic regression for postoperative complications in the whole series pointed out a statistical significance for age>40 years old (odds ratio 3.314, 95% CI 1.012–10.854, p=0.048) and patients with endocrine therapy (odds ratio 0.260, 95% CI 0.092–0.736, p=0.011).

Conclusion

Patients who underwent SIS matrix-assisted one-stage IBBR yield better results in PROs of satisfaction with breasts. Other domains and complications between the two groups had no significant difference.

Novel MIPs-Parabens based SPE Stationary Phases Characterization and Application

In this work, the synthesis, characterization, and application of novel parabens imprinted polymers as highly selective solid-phase extraction (SPE) sorbents have been reported. The imprinted polymers were created using sol–gel molecular imprinting process. All the seven parabens were considered herein in order to check the phase selectivity. By means of a validated HPLC-photodiode array detector (PDA) method all seven parabens were resolved in a single chromatographic run of 25 min. These SPE sorbents, in-house packed in SPE empty cartridges, were first characterized in terms of extraction capability, breakthrough volume, retention volume, hold-up volume, number of theoretical plates, and retention factor. Finally, the device was applied to a real urine sample to check the method feasibility on a very complex matrix. The new paraben imprinted SPE sorbents, not yet present in the literature, potentially encourage the development of novel molecularly imprinted polymers (MIPs) to enhance the extraction efficiency, and consequently the overall analytical performances, when the trace quantification is required.

From patient to tube: the importance of physiologically relevant quantitative bioanalytical assays

Circulating drug concentrations (clinical or preclinical) underly many interactions between industry and regulators; expressing safety coverage, pharmacokinetic-pharmacodynamic relationships or defining bioequivalence and dosing regimens. Accurate and precise measurement of these circulating concentrations is pivotal to the evolution and validation of any bioanalytical method that supports regulatory interactions. Since the bioanalyst is presented with a sub-aliquot of sampled biological matrix, how do they ensure this aliquot reflects the concentration in the subject at the time of collection? Here we share experiences from project support (internal and at CROs) that suggests we need to be ever vigilant translating the needs of bioanalysis with those of project teams. The simple mantra is for bioanalytical measurements to be physiologically relevant to the patient.

Biological Matrices and Synthetic Meshes Used in Implant-based Breast Reconstruction - a Review of Products Available in Germany

While autologous breast reconstruction was considered the procedure of choice for immediate breast reconstruction, there has been a shift towards implant-based breast reconstruction (IBBR) in recent years. The proven safety of silicone breast implants and the development of biological matrices and synthetic meshes have contributed to the growing popularity of this approach. Although these different products are widely used, only limited clinical data are available with regard to breast surgery. The aim of this review was to give an overview of available biological matrices and synthetic meshes and discuss their use in clinical practice.

Postmortem diagnosis and toxicological validation of illicit substance use

The present study examines the diagnostic challenges of identifying ante-mortem illicit substance use in human postmortem cases. Substance use, assessed by clinical case history reviews, structured next-of-kin interviews, by general toxicology of blood, urine and/or brain, and by scalp hair testing, identified 33 cocaine, 29 cannabis, 10 phencyclidine and nine opioid cases. Case history identified 42% cocaine, 76% cannabis, 10% phencyclidine and 33% opioid cases. Next-of-kin interviews identified almost twice as many cocaine and cannabis cases as Medical Examiner (ME) case histories, and were crucial in establishing a detailed lifetime substance use history. Toxicology identified 91% cocaine, 68% cannabis, 80% phencyclidine and 100% opioid cases, with hair testing increasing detection for all drug classes. A cocaine or cannabis use history was corroborated by general toxicology with 50% and 32% sensitivity, respectively, and with 82% and 64% sensitivity by hair testing. Hair testing corroborated a positive general toxicology for cocaine and cannabis with 91% and 100% sensitivity, respectively. Case history corroborated hair toxicology with 38% sensitivity for cocaine and 79% sensitivity for cannabis, suggesting that both case history and general toxicology underestimated cocaine use. Identifying ante-mortem substance use in human postmortem cases are key considerations in case diagnosis and for characterization of disorder-specific changes in neurobiology. The sensitivity and specificity of substance use assessments increased when ME case history was supplemented with structured next-of-kin interviews to establish a detailed lifetime substance use history, while comprehensive toxicology, and hair testing in particular, increased detection of recent illicit substance use.