Tag: nevin manimala

Clin Breast Cancer. 2022 May 23:S1526-8209(22)00112-4. doi: 10.1016/j.clbc.2022.05.007. Online ahead of print.

ABSTRACT

BACKGROUND: Complex interactions between cancer and the immune system have an impact on disease progression and therapeutic response. Our objective was to evaluate whether circulating immune-related determinants are associated with pathological complete response (pCR) in patients with locally advanced breast cancer (LABC) subjected to neoadjuvant chemotherapy (NACT).

PATIENTS AND METHODS: Luminex technology was used to profile 22 cytokines, 10 chemokines, FGF2, PDGF-BB, VEGF, and Ca15-3/Ca125 glycoforms. Measurements were performed alongside standard hematological determinations on pretreatment plasma samples from 151 patients including 41 cases with pCR assessed following RECIST criteria.

RESULTS: Random Forest model analysis selected platelets, eotaxin, IFN-γ, IP10, and TGFβ2 as significant predictors of pCR. These immune-related features were combined into a quantitative score predictive of pCR. In patients who scored 0 or 1, none had pCR; the pCR frequency increased in relation to the score value (23.5%, 41.2%, and 78.6%, in score groups 2, 3, and 4, respectively). At multivariable logistic analysis, the pCR score was highly significant (odds ratio = 3.15 per unit increment; CI: 1.85-5.38; P < .0001); among clinical covariates (age, menopausal status, tumor stage, IHC subtype, Ki-67, CA15.3, and CA125), only Ki-67 was statistically significant (P = .013).

CONCLUSION: This explorative study aimed to lay the conceptual and practical foundation that a distinctive pattern of the immune determinant blood signature at diagnosis of LABC significantly correlates with the patient’s response to NACT and provides the groundwork for larger studies that could lead to a minimally invasive tool for personalized medicine.

PMID:35725806 | DOI:10.1016/j.clbc.2022.05.007

Clin Breast Cancer. 2022 May 20:S1526-8209(22)00095-7. doi: 10.1016/j.clbc.2022.05.005. Online ahead of print.

ABSTRACT

BACKGROUND: Women with extensive mammographic density (MD) are more likely to develop breast cancer than women with low MD because of a high epithelial component associated with a high proportion of stromal cells. To elucidate the biological association between high MD and risk of breast cancer, we compared the expression of a panel of genes coding for leptin, adiponectin, and some component of cell polarity and adherens junction complexes in dense and non-dense breast tissue.

METHODS: We interrogated a public dataset composed by 120 specimens of normal breast tissue with MD evaluation. The differential expression of the selected genes in the 2 MD subgroups was assessed by the Wilcoxon test, whereas Kruskal-Wallis test evaluated the differential expression of single genes in the fatty, epithelium, or nonfatty compartment. Spearman’s correlation measured the relationship among genes in the subset with the highest epithelium proportion.

RESULTS: In high MD, the expression level of PARD6B, CRB3, PATJ, LLGL2, CDH1, and MARVELD2 significantly lowered in tissues with the highest epithelium proportion, whereas, in low MD, the expression level of the genes increased with the increasing of the epithelium proportion. In the low MD subgroup, LEP correlated negatively with PRKCZ and DLG3, whereas, in high MD, such correlation was not observed.

CONCLUSIONS: The expression of the genes governing cell polarity establishment and cell-cell adhesion assembly differed significantly in the epithelial component of dense and non-dense breasts. The correlation pattern between LEP and PRKCZ or DLG3 agrees with the role of leptin in cell polarity disruption.

PMID:35725805 | DOI:10.1016/j.clbc.2022.05.005

J Tissue Viability. 2022 Jun 15:S0965-206X(22)00060-2. doi: 10.1016/j.jtv.2022.06.003. Online ahead of print.

ABSTRACT

BACKGROUND: COVID-19 significantly influences the overall patient status and, in severe symptomatology, the ability to move and the low oxygenation of the tissue for the ventilated patient in Intensive Care Units (ICU). There is a higher risk for Pressure injuries (PIs) development.

OBJECTIVES: The nationwide analyses of the National health register aimed to compare the prevalence of PIs reported before the pandemic COVID-19 started and during the pandemic in 2020.

METHOD: A retrospective, nationwide cross-sectional analysis of data regarding the STROBE checklist collected by the National Health Information System (NHIS), focusing on the PIs reporting based on the International Classification of Diseases (ICD-10) diagnoses L89.0-L89.9 for PIs in 2020. The data from the pandemic period of COVID-19 in 2020 were compared to the prevalence of PI cases in the period 2010-2019 in the Czech Republic in all hospitalized patients.

RESULTS: The total number of admissions for L89 in 2020 was 14,441, of which 1509 (10.4%) also had COVID-19. In the ICU were 4386 admissions, 12.1% of which also had COVID-19. A higher proportion of PIs is observed in patients hospitalized with COVID-19 than in patients without COVID-19 (2.62% vs 0.81%, respectively 1.05% vs 0.46% when standardized to the 2013 ESP = European Standard Population). In patients hospitalized in ICU, 3.68% with COVID-19 had PIs vs 1.42% without COVID-19 had PIs (1.97% vs 0.81% using the 2013 ESP).

CONCLUSION: The national health registers analyses have proven that the prevalence of PIs was higher among patients hospitalized with the SARS-CoV-2 infection.

PMID:35725785 | DOI:10.1016/j.jtv.2022.06.003

Sci Rep. 2022 Jun 20;12(1):10362. doi: 10.1038/s41598-022-14190-1.

ABSTRACT

The purpose of this study is to evaluate whether thin-slice high-resolution 2D fat-suppressed proton density-weighted image of the knee joint using denoising approach with deep learning-based reconstruction (dDLR) with MPR is more useful than 3D FS-PD multi planar voxel image. Twelve patients who underwent MRI of the knee at 3T and 13 knees were enrolled. Denoising effect was quantitatively evaluated by comparing the coefficient of variation (CV) before and after dDLR. For the qualitative assessment, two radiologists evaluated image quality, artifacts, anatomical structures, and abnormal findings using a 5-point Likert scale between 2D and 3D. All of them were statistically analyzed. Gwet’s agreement coefficients were also calculated. For the scores of abnormal findings, we calculated the percentages of the cases with agreement with high confidence. The CV after dDLR was significantly lower than the one before dDLR (p < 0.05). As for image quality, artifacts and anatomical structure, no significant differences were found except for flow artifact (p < 0.05). The agreement was significantly higher in 2D than in 3D in abnormal findings (p < 0.05). In abnormal findings, the percentage with high confidence was higher in 2D than in 3D (p < 0.05). By applying dDLR to 2D, almost equivalent image quality to 3D could be obtained. Furthermore, abnormal findings could be depicted with greater confidence and consistency, indicating that 2D with dDLR can be a promising imaging method for the knee joint disease evaluation.

PMID:35725760 | DOI:10.1038/s41598-022-14190-1

Sci Rep. 2022 Jun 20;12(1):10323. doi: 10.1038/s41598-022-14400-w.

ABSTRACT

The spread through air spaces (STAS) is recognized as a negative prognostic factor in patients with early-stage lung adenocarcinoma. The present study aimed to develop a machine learning model for the prediction of STAS using peritumoral radiomics features extracted from preoperative CT imaging. A total of 339 patients who underwent lobectomy or limited resection for lung adenocarcinoma were included. The patients were randomly divided (3:2) into training and test cohorts. Two prediction models were created using the training cohort: a conventional model based on the tumor consolidation/tumor (C/T) ratio and a machine learning model based on peritumoral radiomics features. The areas under the curve for the two models in the testing cohort were 0.70 and 0.76, respectively (P = 0.045). The cumulative incidence of recurrence (CIR) was significantly higher in the STAS high-risk group when using the radiomics model than that in the low-risk group (44% vs. 4% at 5 years; P = 0.002) in patients who underwent limited resection in the testing cohort. In contrast, the 5-year CIR was not significantly different among patients who underwent lobectomy (17% vs. 11%; P = 0.469). In conclusion, the machine learning model for STAS prediction based on peritumoral radiomics features performed better than the C/T ratio model.

PMID:35725754 | DOI:10.1038/s41598-022-14400-w

BMJ Open Respir Res. 2022 Jun;9(1):e001212. doi: 10.1136/bmjresp-2022-001212.

ABSTRACT

BACKGROUND: Chronic bronchitis in childhood is associated with a diagnosis of asthma and/or bronchiectasis a few years later, however, consequences into middle-age are unknown.

OBJECTIVE: To investigate the relationship between childhood bronchitis and respiratory-related health outcomes in middle-age.

DESIGN: Cohort study from age 7 to 53 years.

SETTING: General population of European descent from Tasmania, Australia.

PARTICIPANTS: 3202 participants of the age 53-year follow-up (mean age 53, range 51-55) of the Tasmanian Longitudinal Health Study cohort who were born in 1961 and first investigated at age 7 were included in our analysis.

STATISTICAL METHODS: Multivariable linear and logistic regression. The association between parent reported childhood bronchitis up to age 7 and age 53-year lung conditions (n=3202) and lung function (n=2379) were investigated.

RESULTS: Among 3202 participants, 47.5% had one or more episodes of childhood bronchitis, classified according to severity based on the number of episodes and duration as: ‘non-recurrent bronchitis’ (28.1%); ‘recurrent non-protracted bronchitis’ (18.1%) and ‘recurrent-protracted bronchitis’ (1.3%). Age 53 prevalence of doctor-diagnosed asthma and pneumonia (p-trend <0.001) and chronic bronchitis (p-trend=0.07) increased in accordance with childhood bronchitis severities. At age 53, ‘recurrent-protracted bronchitis’ (the most severe subgroup in childhood) was associated with doctor-diagnosed current asthma (OR 4.54, 95% CI 2.31 to 8.91) doctor-diagnosed pneumonia (OR=2.18 (95% CI 1.00 to 4.74)) and, paradoxically, increased transfer factor for carbon monoxide (z-score +0.51 SD (0.15-0.88)), when compared with no childhood bronchitis.

CONCLUSION: In this cohort born in 1961, one or more episodes of childhood bronchitis was a frequent occurrence. ‘Recurrent-protracted bronchitis’, while uncommon, was especially linked to multiple respiratory outcomes almost five decades later, including asthma, pneumonia and raised lung gas transfer. These findings provide insights into the natural history of childhood ‘bronchitis’ into middle-age.

PMID:35725733 | DOI:10.1136/bmjresp-2022-001212

Fa Yi Xue Za Zhi. 2022 Feb 25;38(1):77-81. doi: 10.12116/j.issn.1004-5619.2021.410611.

ABSTRACT

OBJECTIVES: To study the effects of temperature and time for diatoms digestion and find out suitable digestive temperature and time.

METHODS: Eighty pieces of liver tissues were collected, each piece of tissue was 2 g, and 2 mL Pearl River water was added to each piece of tissue. The digestion temperature was set at 100 ℃, 120 ℃, 140 ℃, 160 ℃, 180 ℃ and the digestion time was set at 40, 50, 60, 70, 80 min. The liver tissue and water mixture were divided into 8 portions in each group. All the samples were tested by microwave digestive – vacuum filtration – automated scanning electron microscopy method. The quantity of diatom recovered and the quality of residue on the membrane were recorded.

RESULTS: When the digestion time was set to 60 min, there were statistically significant differences in the number of diatoms recovered at different temperatures (P<0.05). The maximum number of diatoms recovered was (28 797.50±6 009.67) at 140 ℃, and the minimum residue was (0.60±0.28) mg at 180 ℃. When the digestion temperature was set at 140 ℃, there were statistically significant differences in the number of diatoms recovered at different digestion times (P<0.05). The number of diatoms recovered was the highest at 40 min, it was up to (20 650.88±1 950.29), and the residue quality of each group had no statistical significance among different digestion time groups(P>0.05).

CONCLUSIONS: The effect of diatom digestion is related to temperature and time. When the digestion temperature was 140 ℃ and the digestion time was 40, 50 and 60 min, it is favorable for diatom test.

PMID:35725708 | DOI:10.12116/j.issn.1004-5619.2021.410611

Fa Yi Xue Za Zhi. 2022 Feb 25;38(1):119-126. doi: 10.12116/j.issn.1004-5619.2021.410801.

ABSTRACT

OBJECTIVES: To examine the effect of improving diatom DNA extraction by glass bead – vortex oscillation method.

METHODS: The DNeasy PowerSoil Pro kit was used as control, two plant DNA extraction kits with different principles (New Plant genomic DNA extraction kit and Plant DNA Isolation kit) and one whole blood DNA extraction kit (whole blood genomic DNA extraction kit) were selected to extract diatom DNA from lung tissue and water sample of the same drowning case. The combination of mass ratio of glass beads with different sizes and vortex oscillation time was designed, and the optimal DNA extraction conditions were selected with the addition of glass beads oscillation. The extracted products of the conventional group and the modified group were directly electrophoretic and detected by diatom specific PCR. Finally, all the extracts were quantified by qPCR, and the Ct values of different groups were statistically analyzed.

RESULTS: When the frequency of vortex oscillation was 3 000 r/min, the optimal combination of DNA extraction was vortex oscillation for 4 min, and the mass ratio of large glass beads to small glass beads was 1∶1. The DNeasy PowerSoil Pro kit was used as a reference, and the Ct value of 10 mL water sample was greater than that of 0.5 g tissue. The Ct values of the other three kits used for plant DNA extraction decreased after the glass beads-vortex oscillation method was used, and the Ct values of the tissues before and after the improvement were statistically significant (P<0.05). The whole blood genomic DNA extraction kit used in this study could successfully extract diatom DNA, the extraction of water samples was close to DNeasy PowerSoil Pro kit, after the modified method was applied to tissue samples, the difference in Ct value was statistically significant (P<0.05). However, when the three kits were used to extract diatom DNA from water samples, Ct values before and after the improvement were only statistically significant in New Plant genomic DNA extraction kit group (P<0.05).

CONCLUSIONS: The improved glass bead-vortex oscillation method can improve the extraction efficiency of diatom DNA from forensic materials, especially from tissue samples, by plant and blood DNA extraction kits.

PMID:35725715 | DOI:10.12116/j.issn.1004-5619.2021.410801

Fa Yi Xue Za Zhi. 2022 Feb 25;38(1):71-76. doi: 10.12116/j.issn.1004-5619.2021.410920.

ABSTRACT

OBJECTIVES: To study the phenomenon of pulmonary hypostasis in corpses of various causes of death, and to explore the potential value of this phenomenon in assisting forensic pathological diagnosis of drowning.

METHODS: A total of 235 cases with clear cause of death through systematic autopsy were collected from January 2011 to June 2021 in Guangzhou. According to the location of body discovery, the cases were divided into the water body group (97 cases) and the non–water body group (138 cases), and the water body group was further divided into the water drowning group (90 cases) and the water non–drowning group (7 cases). Non-water body group was further divided into the non–water drowning group (1 case) and the non–water non–drowning group (137 cases). Three senior forensic pathologists independently reviewed autopsy photos to determine whether there was hypostasis in the lungs. The detection rate of pulmonary hypostasis was calculated.

RESULTS: The detection rate of pulmonary hypostasis in the water drowning group (90 cases) was 0, and the negative rate was 100%. The detection rate of pulmonary hypostasis in the water non–drowning group (7 cases) was 100% and the negative rate was 0. The detection rate of pulmonary hypostasis in the water body group and in the non–water body group (after excluding 2 cases, 136 cases were calculated) was 7.22% and 87.50%, respectively. There were statistically significant differences in the detection rate of pulmonary hypostasis between water body group and non–water body group, and between water drowning group and water non–drowning group (P<0.05).

CONCLUSIONS: The disappearance of pulmonary hypostasis can be used as a specific cadaveric sign to assist in the forensic pathological diagnosis of drowning.

PMID:35725707 | DOI:10.12116/j.issn.1004-5619.2021.410920

Fa Yi Xue Za Zhi. 2022 Feb 25;38(1):59-66. doi: 10.12116/j.issn.1004-5619.2021.410613.

ABSTRACT

OBJECTIVES: The metabolomics technique of LC-MS/MS combined with data analysis was used to detect changes and differences in metabolic profiles in the vitreous humor of early rat carcasses found in water, and to explore the feasibility of its use for early postmortem submersion interval (PMSI) estimation and the cause of death determination.

METHODS: The experimental model was established in natural lake water with 100 SD rats were randomly divided into a drowning group (n=50) and a postmortem (CO₂ suffocation) immediately submersion group (n=50). Vitreous humor was extracted from 10 rats in each group at 0, 6, 12, 18 and 24 h postmortem for metabolomics analyses, of which 8 were used as the training set to build the model, and 2 were used as test set. PCA and PLS multivariate statistical analysis were performed to explore the differences in metabolic profiles among PMSI and causes of death in the training set samples. Then random forest (RF) algorithm was used to screen several biomarkers to establish a model.

RESULTS: PCA and PLS analysis showed that the metabolic profiles had time regularity, but no differences were found among different causes of death. Thirteen small molecule biomarkers with good temporal correlation were selected by RF algorithm. A simple PMSI estimation model was constructed based on this indicator set, and the data of the test samples showed the mean absolute error (MAE) of the model was 0.847 h.

CONCLUSIONS: The 13 metabolic markers screened in the vitreous humor of rat corpses in water had good correlations with the early PMSI. The simplified PMSI estimation model constructed by RF can be used to estimate the PMSI. Additionally, the metabolic profiles of vitreous humor cannot be used for early identification of cause of death in water carcasses.

PMID:35725705 | DOI:10.12116/j.issn.1004-5619.2021.410613