Circulating inflammatory cell profiling and periodontitis: A systematic review and meta-analysis

Inflammation is a key driver of common non-communicable diseases. Among common triggers of inflammation, chronic gingival inflammation (periodontitis) triggers a consistent humoral host inflammatory response, but little is known on its impact on circulating inflammatory cell profiles.
We aimed to systematically appraise all the evidence linking periodontitis and its treatment to circulating inflammatory cell profiles. About Cell Analysis 
From 6 databases, 157 studies were eligible for qualitative synthesis and 29 studies for meta-analysis.
Our meta-analysis showed that participants with periodontitis exhibited a significant mean increase in circulating CD4+ , CD4+ CD45RO+ , IFNγ-expressing CD4+ and CD8+ T cells, CD19+ CD27+ and CD5+ B cells, CD14+ CD16+ monocytes, and CD16+ neutrophils but decrease in CD8+ T and CD14++ CD16 monocytes.
Our qualitative synthesis revealed that peripheral blood neutrophils of patients with periodontitis consistently showed elevated production of reactive oxygen species (ROS) when compared with those of healthy controls.
Some evidence suggested that the treatment of periodontitis reversed the exaggerated ROS production, but limited and inconclusive data were found on several circulating inflammatory cell profiling.
We conclude that periodontitis and its treatment are associated with minor but consistent alterations in circulating inflammatory cell profiles.
These changes could represent key mechanisms explaining the association of periodontitis with other comorbidities such as cardiovascular disease, diabetes, and rheumatoid arthritis.

zMADM (zebrafish mosaic analysis with double markers) for single-cell gene knockout and dual-lineage tracing

As a vertebrate model organism, zebrafish has many unique advantages in developmental studies, regenerative biology, and disease modeling. However, tissue-specific gene knockout in zebrafish is challenging due to technical difficulties in making floxed alleles. Even when successful, tissue-level knockout can affect too many cells, making it difficult to distinguish cell-autonomous from noncell autonomous gene function.
Here, we present a genetic system termed zebrafish mosaic analysis with double markers (zMADM).
Through Cre/loxP-mediated interchromosomal mitotic recombination of two reciprocally chimeric fluorescent genes, zMADM generates sporadic (<0.5%), GFP+ mutant cells along with RFP+ sibling wild-type cells, enabling phenotypic analysis at single-cell resolution. Using wild-type zMADM, we traced two sibling cells (GFP+ and RFP+) in real time during a dynamic developmental process.
Using nf1 mutant zMADM, we demonstrated an overproliferation phenotype of nf1 mutant cells in comparison to wild-type sibling cells in the same zebrafish.
The readiness of zMADM to produce sporadic mutant cells without the need to generate floxed alleles should fundamentally improve the throughput of genetic analysis in zebrafish; the lineage-tracing capability combined with phenotypic analysis at the single-cell level should lead to deep insights into developmental and disease mechanisms.
Therefore, we are confident that zMADM will enable groundbreaking discoveries once broadly distributed in the field.

Perovskite solar cell using HTLs copper iodide and spiro-OMeTAD comparative analysis in terms of efficiency and resource utilization

The researcher’s nature to search for better solar cells despite their performance issues has engendered efficient solar cells. The general idea behind solar cell design is similar for all the structures except for substance selection and the imposition of a morphological order, which greatly affects its performance.
A solar panel comprised of particular self-designed solar cell structures are utilized to harness energy and convert optical signals to electrical signals. Research on solar cell design is crucial for future communication systems.
The morphological order of different layers demonstrates the performance of solar cells.
Some of the electron transport layers (ETLs) and the hole transport layers (HTLs) employ toxic substances that have detrimental environmental effects. We present a comparative analysis of perovskite solar cell (PSC) design and simulation using SCAPS software. With the integration of two different HTLs, Spiro-OMeTAD and CuI, the individual outcomes are effective.
The results illustrate that the proposed design is efficient. Replacing the HTL with CuI also showed enough competitive results as compared to existing models.
Present and future solar cell design research demonstrates its importance in optical wireless communication, free-space optical communication, light communication, and other communication systems.

The Intriguing Landscape of Single-Cell Protein Analysis.

Profiling protein expression at single-cell resolution is essential for fundamental biological research (such as cell differentiation and tumor microenvironmental examination) and clinical precision medicine where only a limited number of primary cells are permitted.
With the recent advances in engineering, chemistry, and biology, single-cell protein analysis methods are developed rapidly, which enable high-throughput and multiplexed protein measurements in thousands of individual cells.
In combination with single cell RNA sequencing and mass spectrometry, single-cell multi-omics analysis can simultaneously measure multiple modalities including mRNAs, proteins, and metabolites in single cells, and obtain a more comprehensive exploration of cellular signaling processes, such as DNA modifications, chromatin accessibility, protein abundance, and gene perturbation.
Here, the recent progress and applications of single-cell protein analysis technologies in the last decade are summarized. Current limitations, challenges, and possible future directions in this field are also discussed.

Clinical and CT patterns to predict EGFR mutation in patients with non-small cell lung cancer: A systematic literature review and meta-analysis

Purpose: This study aims to determine if the presence of specific clinical and computed tomography (CT) patterns are associated with epidermal growth factor receptor (EGFR) mutation in patients with non-small cell lung cancer.
Methods: A systematic literature review and meta-analysis was carried out in 6 databases between January 2002 and July 2021.
The relationship between clinical and CT patterns to detect EGFR mutation was measured and pooled using odds ratios (OR).
These results were used to build several mathematical models to predict EGFR mutation.
Results:34 retrospective diagnostic accuracy studies met the inclusion and exclusion criteria.
The results showed that ground-glass opacities (GGO) have an OR of 1.86 (95%CI 1.34 -2.57), air bronchogram OR 1.60 (95%CI 1.38 – 1.85), vascular convergence OR 1.39 (95%CI 1.12 – 1.74), pleural retraction OR 1.99 (95%CI 1.72 – 2.31), spiculation OR 1.42 (95%CI 1.19 – 1.70), cavitation OR 0.70 (95%CI 0.57 – 0.86), early disease stage OR 1.58 (95%CI 1.14 – 2.18), non-smoker status OR 2.79 (95%CI 2.34 – 3.31), female gender OR 2.33 (95%CI 1.97 – 2.75). A mathematical model was built, including all clinical and CT patterns assessed, showing an area under the curve (AUC) of 0.81.
Conclusions:GGO, air bronchogram, vascular convergence, pleural retraction, spiculated margins, early disease stage, female gender, and non-smoking status are significant risk factors for EGFR mutation. At the same time, cavitation is a protective factor for EGFR mutation.
The mathematical model built acts as a good predictor for EGFR mutation in patients with lung adenocarcinoma.

EZCellTM Cell Cycle Analysis Kit

K920-100 Biovision 376 EUR

Acetone, 99.8%, for analysis

GK3913-1L Glentham Life Sciences 1 l 69 EUR

Acetone, 99.8%, for analysis

GK3913-2500ML Glentham Life Sciences 2500 ml 110 EUR

Acetone, 99.8%, for analysis

GK3913-500ML Glentham Life Sciences 500 ml 55 EUR

Collagen analysis, <10 samples

80031 Chondrex Custom service 145.7 EUR

Collagen analysis, >30 samples

80033 Chondrex Custom service 135.55 EUR

Tetrahydrofuran, 99.9%, for analysis, unstabilised

GK0126-1L Glentham Life Sciences 1 l 114 EUR

Tetrahydrofuran, 99.9%, for analysis, unstabilised

GK0126-2500ML Glentham Life Sciences 2500 ml 205 EUR

Collagen analysis, 10-30 samples

80032 Chondrex Custom service 141.35 EUR

Antibody analysis - human >30 samples

8005-3 Chondrex Custom service 113.8 EUR

Peroxide Block for Image Analysis

ADA015 ScyTek Laboratories 15 ml 71 EUR

Peroxide Block for Image Analysis

ADA500 ScyTek Laboratories 500 ml 127 EUR

Peroxide Block for Image Analysis

ADA999 ScyTek Laboratories 1000 ml 157 EUR

DNA Ploidy Analysis Staining Kit

K1439-1 Biovision 588 EUR
Keywords:ALK, anaplastic lymphoma kinase mutation; AUC, area under the curve; Biopsy; CT, computed tomography; Computed tomography; EGFR TKI, epidermal growth factor receptor tyrosine kinase inhibitors; EGFR mutation; EGFR, epidermal growth factor; FN, False negatives; FP, False positives; GGO, Ground glass opacities; KRAS, Kirsten rat sarcoma viral oncogene homolog; Lung adenocarcinoma; Lung cancer; NSCLC, non-small cell lung carcinoma; Non-small cell lung cancer; OR, Odds ratios; PRISMA, Preferred Reporting Items for Systematic Review and Meta-analysis; QUADAS-2, Quality Assessment of Diagnostic Accuracy Studies-2; ROC, Receiver Operating Characteristics; TN, True Negative; TP, True Positive.