Mentha longifolia assisted nanostructures: An approach to obliterate microbial biofilms.

Microbes maneuver strategies to become incessant and biofilms perfectly play a role in scaling up virulence to cause long-lasting infections. The present study was designed to assess the use of an eco-friendly formulation of functionalized silver nanoparticles generated from Mentha longifolia leaf extract (MℓE) for the treatment of biofilm-producing microbes. Nanoparticles synthesized using MℓE as a reducing agent were optimized at different strengths of AgNO3 (1 mM, 2 mM, 3 mM, and 4 mM). Synthesis of M. longifolia silver nanoparticles (MℓAgNPs) was observed spectrophotometrically (450 nm) showing that MℓAgNPs (4 mM) had the highest absorbance. Various techniques e.g., Fourier transforms Infrared spectroscopy (FTIR), Dynamic light scattering (DLS), zeta potential (ZP), X-ray Diffraction (XRD), scanning electron microscope (SEM), and transmission electron microscope (TEM) were used to characterize MℓAgNPs. In the present study, the Kirby-Bauer method revealed 4mM was the most detrimental conc. of MℓAgNPs with MIC and MBC values of 0.62 µg/mL and 1.25 µg/mL, 0.03 µg/mL and 0.078 µg/mL, and 0.07 µg/mL and 0.15 µg/mL against previously isolated and identified clinical strains of Escherichia coli, Pseudomonas aeruginosa, Klebsiella pneumoniae, and Staphylococcus aureus, respectively. Moreover, the MℓAgNP antibiofilm activity was examined via tissue culture plate (TCP) assay that revealed biofilm inhibition of up to 87.09%, 85.6%, 83.11%, and 75.09% against E. coli, P. aeruginosa, K. pneumonia, and S. aureus, respectively. Herbal synthesized silver nanoparticles (MℓAgNPs) tend to have excellent antibacterial and antibiofilm properties and are promising for other biomedical applications involving the extrication of irksome biofilms. For our best knowledge, it is the first study on the use of the green-synthesized silver nanoparticle MℓAgNP as an antibiofilm agent, suggesting that this material has antibiotic, therapeutic, and industrial applications.

Assessment of lifestyle changes in combating the COVID-19 pandemic among people of Karachi, Pakistan.

Aim: COVID-19 arose as a pandemic that wreaked havoc all over the world. Study determines lifestyle changes adopted by people of Karachi in response to COVID-19 pandemic. Methods: This was the cross-sectional study and carried out at public sector hospital and 218 participants were selected through random sampling method. Results: Lifestyle changes a statistically significant difference in nutrition (p = 0.000), physical activity (p = 0.000), workout (p = 0.000), smoking (p = 0.000), sleep hours (p = 0.000), and supplements (p = 0.000) before and during lockdown. Face masks were utilized by 38% of individuals, gloves by 19%, and social isolation was observed by 26%. 11% of participants did not follow any protocols. Conclusion: Study found significant differences in lifestyle habits such as diet, sleep, smoking and physical activity.

COVID-19 pandemic affect every day life of all people. This study results fond that there are different domain of quality life were affected. Nutrition, physical activity and smoking were associated with poor quality of life and these changes affect the mental and physical health of community people. There is need to social and medical support for people affected by COVID-19 pandemic.

Meta-analysis shows that mesenchymal stem cell therapy can be a possible treatment for diabetes.

Objective: This meta-analysis includes the systematic literature review and meta-analysis involving clinical trials to assess the efficacy and safety of mesenchymal stem cell (MSC) transplantation for treating T1DM and T2DM. Methods: We searched PubMed, ScienceDirect, Web of Science, clinicaltrials.gov, and Cochrane Library for "published" research from their inception until November 2023. Two researchers independently reviewed the studies' inclusion and exclusion criteria. Our meta-analysis included 13 studies on MSC treatment for diabetes. Results: The MSC-treated group had a significantly lower HbA1c at the last follow-up compared to the baseline (MD: 0.95, 95% CI: 0.33 to 1.57, P-value: 0.003< 0.05), their insulin requirement was significantly lower (MD: 0.19, 95% CI: 0.07 to 0.31, P-value: 0.002< 0.05), the level of FBG with MSC transplantation significantly dropped compared to baseline (MD: 1.78, 95% CI: -1.02 to 4.58, P-value: 0.212), the FPG level of the MSC-treated group was significantly lower (MD: -0.77, 95% CI: -2.36 to 0.81, P-value: 0.339 > 0.05), and the fasting C-peptide level of the MSC-treated group was slightly high (MD: -0.02, 95% CI: -0.07 to 0.02, P-value: 0.231 > 0.05). Conclusion: The transplantation of MSCs has been found to positively impact both types of diabetes mellitus without signs of apparent adverse effects.

Surface-enhanced Raman spectroscopy for characterization of filtrates of blood serum samples from patients with tuberculosis obtained by 50 kDa filtration devices.

The ability of surface-enhanced Raman spectroscopy (SERS) to generate spectroscopic fingerprints has made it an emerging tool for biomedical applications. The objective of this study is to confirm the potential use of Raman spectroscopy for early disease diagnosis based on blood serum. In this study, a total of sixty blood serum samples, consisting of forty from diseased patients and twenty (controls) from healthy individuals, was used. Because disease biomarkers, found in the lower molecular weight fraction, are suppressed by higher molecular weight proteins, 50 kDa Amicon ultrafiltration centrifugation devices were used to produce two fractions from whole blood serum consisting of a filtrate, which is a low molecular weight fraction, and a residue, which is a high molecular weight fraction. These fractions were then analyzed, and their SERS spectral data were compared with those of healthy fractions. The SERS technique was utilized on blood serum, filtrate and residue of patients with tuberculosis to identify characteristic SERS spectral features associated with the development of disease, which can be used to differentiate them from healthy samples using silver nanoparticles as a SERS substrate. For further analysis, the effective chemometric technique of principal component analysis (PCA) was used to qualitatively differentiate all the analyzed samples based on their SERS spectral features. Partial least squares discriminant analysis (PLS-DA) accurately classified the filtrate portions of healthy and tuberculosis samples with 97% accuracy, 97% specificity, 98% sensitivity, and an area under the receiver operating characteristic (AUROC) curve of 0.74.

Surface enhanced Raman spectroscopy for the characterization of the metabolites of the biodesulfurization of dibenzothiophene carried out by Tsukamurella paurometabola.

Large amount of sulphur is released by the combustion of fossil fuels in the form of SoX which affects human health and leads to acid rain. To overcome this issue, it is essential to eliminate sulphur moieties from heterocyclic organo-sulphur compounds like Dibenzothiophene (DBT) present in the petrol. In this study Surface enhanced Raman scattering (SERS) spectroscopy is used to analyze the desulfurizing activity of Tsukamurella paurometabola bacterial strain. The most prominent SERS peaks observed at 791, 837, 944 and 1032 cm-1, associated to C-S stretching, are solely observed in dibenzothiophene and its metabolite-I (DBTS) but absent in 2-Hydroxybiphenyl (metabolite-II) and extraction sample of supernatant as a result of biodesulfurization. Moreover, the SERS peaks observed at 974 (characteristic peak of benzene ring) and 1015 cm-1 is associated to C-C ring breathing while 1642 and 1655 cm-1 assigned to CC bonds of aromatic ring. These peaks are only observed in 2-Hydroxybiphenyl (metabolite-II) and extraction sample of supernatant as a result of biodesulfurization. Notably, these peaks are absent in the Dibenzothiophene and its metabolite-I which indicate that aromatic ring is carrying sulfur in this fraction. Moreover, multivariate data analytical tools like principal component analysis (PCA) and PCA-loadings are applied to further differentiate between dibenzothiophene and its metabolites that are Dibenzothiophene sulphone (metabolite-I) and 2-Hydroxybiphenyl (metabolite-II).

The therapeutic effect of mesenchymal stem cells in diabetic kidney disease.

Diabetes mellitus (DM) often causes chronic kidney damage despite best medical practices. Diabetic kidney disease (DKD) arises from a complex interaction of factors within the kidney and the whole body. Targeting specific disease-causing agents using drugs has not been effective in treating DKD. However, stem cell therapies offer a promising alternative by addressing multiple disease pathways and promoting kidney regeneration. Mesenchymal stem cells (MSCs) offer great promise due to their superior accessibility ratio from adult tissues and remarkable modes of action, such as the production of paracrine anti-inflammatory and cytoprotective substances. This review critically evaluates the development of MSC treatment for DKD as it moves closer to clinical application. Results from animal models suggest that systemic MSC infusion may positively impact DKD progression. However, few registered and completed clinical trials exist, and whether the treatments are effective in humans is still being determined. Significant knowledge gaps and research opportunities exist, including establishing the ideal source, dose, and timing of MSC delivery, better understanding of in vivo mechanisms, and developing quantitative indicators to obtain a more significant therapeutic response. This paper reviews recent literature on using MSCs in preclinical and clinical trials in DKD. Potent biomarkers related to DKD are also highlighted, which may help better understand MSCs' action in this disease progression. KEY MESSAGES: Mesenchymal stem cells have anti-inflammatory and paracrine effects in diabetic kidney disease. Mesenchymal stem cells alleviate in animal models having diabetic kidney disease. Mesenchymal stem cells possess promise for the treatment of diabetic kidney disease.

Assessment of Anxiety among People with Various Physical Activity Levels during Lockdown in Karachi, Pakistan.

Background The purpose of this study is to make it easier to counsel the general public on how to promote their psychological health and better lifestyle by boosting their physical activity in the event of more devastating future waves of coronavirus disease 2019. Coronavirus disease is a viral infection first reported in Wuhan, China, which led to a worldwide pandemic and lockdown. In addition to physical health, the uncertainty of situation and fear of infection have further affected the mental health of the individuals. Lockdown has also halted the physical activity of people further adding into the stress and anxiety. Methods A sample size of 376 was required, but a convenient sampling technique collected 400 responses due to overwhelming Participation. A well-structured questionnaire was used for data collection, which contained sections such as a demographics section. We used the International Physical Activity Questionnaire scale to measure various physical activity levels and the generalized anxiety disorder scale to measure anxiety levels, because of their considerate validity and feasibility. Later both of our variables were compared to find out the correlation of anxiety levels with different physical activity levels. Results Mean Anxiety and its prevalence rates in the sample were 7.32 ± 5.767 and 33%. On performing Pearson correlation, increasing age was found to be a risk factor for Anxiety. One-way analysis of variance showed a significant difference between Physical Activity and Anxiety. In the post-hoc Tukey test, a considerable difference in anxiety level was found between people with no physical activity and vigorous physical activity. Conclusion During the lockdown period, the mean anxiety was found to be 7.0 ± 5.56 with prevalence rate of 33% among the people with no, low, moderate or vigorous physically active levels was found to be associated with better perceived mental health status which suggests the need to promote physically active style to cope with anxiety and awareness sessions to be conducted especially among those who could not maintain a physically active lifestyle. Also, among the general population e-Health programs could provide an appropriate way to promote a physically active lifestyle.

Screen Time And Its Relationship With Attention Deficit Hyperactivity Disorder Among Children Attending A Tertiary Care Hospital.

Objective: To estimate the frequency of attention deficit hyperactivity disorder and its relationship with screen time and sociodemographic characteristics among children. METHODS: The cross-sectionalstudy was conducted at the National Institute of Child Health, Karachi, in June-July 2022, and comprised children of either gender aged 5-10 years visiting the paediatric outpatient department. Screen time was measured using a pretested questionnaire, while attention deficit hyperactivity disorder was measured using ADHD rating scale IV. The relationship of sociodemographic characteristics and screen time with the disorder was explored through multiple linear regression analysis. Data was analysed using SPSS 20. RESULTS: Of the 247 participants, 126(51%) were boys and 121(49%) were girls. The overall mean age was 7.84±1.87 years. There were 149(60.3%) children at the primary level of education, while 76(30.8%) had no formal education. There were 139(56.3%) children having screen time >2 hours/day with a mean of 3.36±3.14 hours. There were 15(6.1%) children with attention deficit hyperactivity disorderscore >26 with a mean of 11.58±9.27. Boys were more frequently affected by attention deficit hyperactivity disorder compared to girls (p=0.026), and there was a significant positive correlation between screen time and attention deficit hyperactivity disorder (p<0.001). Conclusion: The majority of children were found to be spending more than the recommended time on screen. Male gender and screen time were associated with attention deficit hyperactivity disorder.

Characterization of structural changes occurring in insulin at different time intervals at room temperature by surface-enhanced Raman spectroscopy.

BACKGROUND: Insulin storage above the temperature recommended by food and drug administration (FDA) causes decrease in its functional efficacy due to degradation and aggregation of its protein based active pharmaceutical ingredient (API) that results poor glycemic control in diabetic patients. The aggregation of protein causes serious neurodegenerative diseases such as type-2 diabetes, Huntington disease, Parkinson's disease, and Alzheimer's disease. Surface-enhanced Raman spectroscopy (SERS) has been employed for the denaturation study of many proteins at the temperature above the recommendations of food and drug administration (FDA) (above 30 °C) which indicates potential of technique for such studies. OBJECTIVE: SERS along with multivariate discriminating analysis techniques-based analysis of degradation of liquid pharmaceutical insulin protein after regular intervals of time at room temperature to analyze the structural changes in this protein during the storage of insulin pharmaceutical at room temperature. METHODS: Silver nanoparticles (Ag-NPs) prepared by chemical reduction method are used as SERS active substrate for the surface enhancement of the insulin spectral signal. SERS spectral measurements of insulin were collected from eight different samples of insulin in the time range of 7 pm to 7 am first at fridge temperature (5 °C), second after half hour and next six with the time difference of 2 h each time at room temperature. The acquired SERS spectral data was preprocessed and analyzed. SERS structural transformations detection and discrimination potential in insulin was further confirmed by applying multivariate discriminating analysis techniques including principal component analysis (PCA) and Partial least square regression analysis (PLSR). RESULTS: SERS significantly detects the structural changes produced in insulin even after 2 h of insulin placement at room temperature. PCA successfully differentiates the insulin spectral data obtained after regular intervals of time according to PC-1 (77 %) explained variance. Application of PLSR model provides quantitative confirmation of SERS efficiency, by providing insulin data regression coefficients plot, efficient prediction of time with calibration data set having 0.77 mean square absolute error of calibration (RMSAEC), validation data set with 0.80 mean square absolute error of prediction (RMSAEP) and 0.98 coefficient of determination (R2) for both calibration and validation data set. CONCLUSION: SERS is proved as a highly sensitive and discriminating technique to detect and discriminate insulin structural changes after regular intervals of time at room temperature.

The promise of autologous and allogeneic cellular therapies in the clinical trials of autism spectrum disorder.

Autism spectrum disorder (ASD) is a consortium of developmental conditions. As scientists have not yet identified the exact underlying cause for these disorders, it is not easy to narrow down a singular therapy to propose a reliable cure. The preponderance of research suggests that stem-cell therapy improves aspects of outcome measure scales in patients with ASD; therefore, future studies should give us more confidence in the results. This overview considers the data that have emerged from the small set of published trials conducted using different approaches in stem-cell therapy for ASD, evaluates their results and proposes additional steps that could be taken if this field of endeavor is to be pursued further.

The Therapeutic Potential of Human Umbilical Cord Derived Mesenchymal Stem Cells for the Treatment of Premature Ovarian Failure.

Premature ovarian failure (POF) affects 1% of women under 40, leading to infertility. The clinical symptoms of the POF include hypoestrogenism, lack of mature follicles, hypergonadotropinism, and amenorrhea. POF can be caused due to genetic defects, autoimmune illnesses, and environmental factors. The conventional treatment of POF remains a limited success rate. Therefore, an innovative treatment strategy like the regeneration of premature ovaries by using human umbilical cord mesenchymal stem cells (hUC-MSCs) can be a choice. To summarize all the theoretical frameworks for additional research and clinical trials, this review article highlights all the results, pros, and cons of the hUC-MSCs used to treat POF. So far, the data shows promising results regarding the treatment of POF using hUC-MSCs. Several properties like relatively low immunogenicity, multipotency, multiple origins, affordability, convenience in production, high efficacy, and donor/recipient friendliness make hUC-MSCs a good choice for treating basic POF. It has been reported that hUC-MSCs impact and enhance all stages of injured tissue regeneration by concurrently stimulating numerous pathways in a paracrine manner, which are involved in the control of ovarian fibrosis, angiogenesis, immune system modulation, and apoptosis. Furthermore, some studies demonstrated that stem cell treatment could lead to hormone-level restoration, follicular activation, and functional restoration of the ovaries. Therefore, all the results in hand regarding the use of hUC-MSCs for the treatment of POF encourage researchers for further clinical trials, which will overcome the ongoing challenges and make this treatment strategy applicable to the clinic in the near future.

The dynamics of volatility spillovers between oil prices and stock market returns at the sector level and hedging strategies: evidence from Pakistan.

This study investigates the transmission of volatility between OPEC-oil and sector stock returns in Pakistan. The issue of volatility spillovers across the oil and sector stocks is a crucial part of risk management and portfolio designs, as all firms are not expecting to be equally affected by changes in oil price. Empirically, we estimate a bivariate VAR-GARCH model using daily data sampled from January 1, 2003 to December 29, 2017. We also analyze the optimal weights and hedge ratios for oil-stock portfolio holdings based on our model results. Our findings reveal that negative and significant spillover effects from the oil market to agriculture, energy, and machinery sector stocks are present. However, our findings show that volatility spillover effects are insignificant from stock returns to oil. The findings of the study illustrate that development of stock market will motivate highly polluting firms to invest more in renewable and clean energy, which will help reduce carbon emissions.

Association of breast feeding positioning with musculoskeletal pain in post partum mothers of Rawalpindi and Islamabad.

During breastfeeding, lactating mothers adopt different positions that can cause musculoskeletal problems. The purpose of this study was to determine common breastfeeding positions and musculoskeletal problems in our population and the association between them. A descriptive cross-sectional survey was conducted on 400 breast feeding mothers from hospitals, universities and community of Rawalpindi and Islamabad using a self structured questionnaire. It was found that 283(70.8%) reported cross cradle hold (opposite arm) breastfeeding position, while 86(21.5%) reported breastfeeding in side lying position. Also 31(7.9%) were those mothers who adopted other different BF positions. Mechanical neck pain was seen in 147(36.8%) women and mechanical low back pain was seen in 88(22.0%) women. When chi square test was applied to find out association between breastfeeding position and musculoskeletal problems p value was 0.989 that there was no significant difference between them.