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Article: Toxicity and Impact of Silica Nanoparticles on the Configuration of Gut Microbiota in Immunodeficient Mice.

Shabbir, Sana / Hu, Yanzhou / He, Xiaoyun / Huang, Kunlun / Xu, Wentao

2023 Volume 11, Issue 5

Abstract: Nanoparticles (NPs), having exceptional physicochemical and electrical characteristics with lower toxicity, have evolved as dynamic drug delivery carriers in living organisms. Potentially, the intragastric gavage of silica nanoparticles (SiNPs) affects ... ...

Abstract	Nanoparticles (NPs), having exceptional physicochemical and electrical characteristics with lower toxicity, have evolved as dynamic drug delivery carriers in living organisms. Potentially, the intragastric gavage of silica nanoparticles (SiNPs) affects gut microbiota profiles in immunodeficient mice. In this study, the impact of SiNPs of variable size and dosage was investigated in cyclophosphamide (Cy)-induced immunodeficient mice, specifically on their immune functions and gut microbiota, through physicochemical and metagenomic analysis. SiNPs of different sizes and doses were gavaged to Cy-induced immunodeficient mice for 12 days at an interval of 24 h to investigate their effects on immunological functions and the gut microbiome of mice. Our results showed that SiNPs had no significant toxicological effects on the cellular and hematological activities of immunodeficient mice. Furthermore, after the administration of different levels of SiNPs, no immune dysfunction was found in the immunosuppressed mice groups. However, gut-microbial studies and comparisons of characteristic bacterial diversity and compositions demonstrated that SiNPs significantly affect the abundance of different bacterial communities. LEfSe analysis revealed that SiNPs significantly increased the abundance of
Language	English
Publishing date	2023-04-30
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2720891-6
ISSN	2076-2607
ISSN	2076-2607
DOI	10.3390/microorganisms11051183
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Article: Unveiling shadows: analyzing suicide reporting in Muslim-majority countries vis-à-vis WHO's media guidelines.

Mahesar, Rameez A / Shahid, Sana / Asif, Saba / Khoso, Abdul K / Kar, Sujita K / Shabbir, Taha

CNS spectrums

2023 , Page(s) 1–3

Abstract: Numerous studies have been conducted globally to assess the compliance level of newspapers with the World Health Organization's media guidelines for responsible suicide reporting. To identify and review such studies conducted in Muslim-majority countries ...

Abstract	Numerous studies have been conducted globally to assess the compliance level of newspapers with the World Health Organization's media guidelines for responsible suicide reporting. To identify and review such studies conducted in Muslim-majority countries between 2014 and 2022, we searched PubMed and Google Scholar databases. We identified 12 eligible studies from Pakistan (
Language	English
Publishing date	2023-10-20
Publishing country	United States
Document type	Journal Article
ZDB-ID	2008418-3
ISSN	2165-6509 ; 1092-8529
ISSN (online)	2165-6509
ISSN	1092-8529
DOI	10.1017/S1092852923006351
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Article ; Online: Spectrum of Common Congenital Heart Diseases in Preterm Neonates

Sana Shabbir / Neelum Tahirkheli / Kashif Abbas / Samina Shamim

Journal of the Dow University of Health Sciences, Vol 16, Iss

2022 Volume 2

Abstract: Objective: To determine the frequency and clinical spectrum of common congenital heart disease (CHD) in preterm newborns attending public sector tertiary care hospital. Methods: A descriptive cross-sectional study was conducted at Neonatal Intensive Care ...

Abstract	Objective: To determine the frequency and clinical spectrum of common congenital heart disease (CHD) in preterm newborns attending public sector tertiary care hospital. Methods: A descriptive cross-sectional study was conducted at Neonatal Intensive Care Unit (NICU) of Liaquat National Hospital Karachi from October 2016 to March 2017. Record of preterm newborns having gestational age ≤37 weeks admitted to NICU were included. Cardiovascular examination and echocardiography were performed. If a defect was discovered on echocardiography, the type of CHD was also documented. CHD was labeled as positive based on the presence of anyone of the following: visual septal defect (VSD), atrial septal defect (ASD), patent ductus arteriosus (PDA) and tetralogy of fallot (TAF). Results: Of 106 patients, CHD was observed in 21 (19.8%) cases. Of these, VSD was found in 8 (38.1%), ASD in 5 (23.8%), while PDA and TOF in 4 (19%) each. A significant association of CHD was observed with birth weight (p-value <0.001), history of CHD in siblings (p-value <0.001), consanguinity (p-value 0.005), and history of unexplained deaths in siblings (p-value 0.011). The mean birth weight was found significantly higher among neonates without CHD as compared to the neonates with CHD i.e., 2.83 ± 0.61 kg vs. 2.05 ± 0.56 kg (p-value <0.001). Conclusion: The current study findings revealed that twenty percent of the preterm neonates admitted in NICU had CHD. Furthermore, an increased risk of CHD was observed in premature low birth weight neonates, those with history of CHD in siblings, history of unexplained deaths in siblings, and consanguineous marriage.
Keywords	Congenital Heart Disease ; Preterm Newborns ; Heart Disease ; Echocardiography ; Medicine ; R
Subject code	610
Language	English
Publishing date	2022-05-01T00:00:00Z
Publisher	Dow University of Health Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Stability analysis for a class of implicit fractional differential equations involving Atangana-Baleanu fractional derivative.

Asma / Shabbir, Sana / Shah, Kamal / Abdeljawad, Thabet

Advances in difference equations

2021 Volume 2021, Issue 1, Page(s) 395

Abstract: Some fundamental conditions and hypotheses are established to ensure the existence, uniqueness, and stability to a class of implicit boundary value problems (BVPs) with Atangana-Baleanu-Caputo type derivative and integral. The required results are ... ...

Abstract	Some fundamental conditions and hypotheses are established to ensure the existence, uniqueness, and stability to a class of implicit boundary value problems (BVPs) with Atangana-Baleanu-Caputo type derivative and integral. The required results are established by utilizing the Banach contraction mapping principle and fixed point theorem of Krasnoselskii. In addition, various types of stability results including Hyers-Ulam, generalized Hyers-Ulam, Hyers-Ulam-Rassias, and generalized Hyers-Ulam-Rassias stability are formulated for the problem under consideration. Pertinent examples are given to justify the results we obtain.
Language	English
Publishing date	2021-08-24
Publishing country	Germany
Document type	Journal Article
ZDB-ID	2132815-8
ISSN	1687-1847 ; 1687-1839
ISSN (online)	1687-1847
ISSN	1687-1839
DOI	10.1186/s13662-021-03551-1
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Article ; Online: Multidimensional poverty index across districts in Punjab, Pakistan: estimation and rationale to consolidate with SDGs

Nawab, Tabish / Raz̤ā, S̲aqalain / Shabbir, Malik Shahzad / Yaḥyá Khān, Ghulām / Bashir, Sana

Environ Dev Sustain. 2023 Feb., v. 25, no. 2 p.1301-1325

2023

Abstract: Multidimensional poverty index (MPI) has gotten relevance of their public policy and arguably became a strong instrument to meet sustainable development goals (SDGs). This study proposes measurement of MPI along with its components that are responsible ... ...

Abstract	Multidimensional poverty index (MPI) has gotten relevance of their public policy and arguably became a strong instrument to meet sustainable development goals (SDGs). This study proposes measurement of MPI along with its components that are responsible for a change in MPI over the period from 2007 to 2018 using the Alkire–Foster method. Four rounds of multiple indicators cluster survey have been used which is only available data to account for all of the dimensions of MPI. The findings show the incidence of MPI in Punjab has downturned by an annual average of 1.1%, from 10% of the population in 2007 to 6.7% of the population in 2018. Southern Punjab is poorer than North-Central Punjab. The magnitude of poverty is lower in industrialized districts which are mainly situated in northern Punjab. Health and education dimensions need to be improved throughout the province. In the living standard dimension, cooking fuel, flooring, and sanitation need to be administered. Globally, MPI is a great poverty measurement and monitoring tool that determines the pace and progress in SDGs categorically. Due to its multidimensional structure, MPI is specifically attributed to measure the SDG # 1, 2, 3, 4, 6, 7, and 11.
Keywords	education ; fuels ; industrialization ; poverty ; public policy ; sanitation ; surveys ; sustainable development ; Pakistan
Language	English
Dates of publication	2023-02
Size	p. 1301-1325.
Publishing place	Springer Netherlands
Document type	Article ; Online
ZDB-ID	1438730-x
ISSN	1387-585X
ISSN	1387-585X
DOI	10.1007/s10668-021-02095-4
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: The interplay between the immune system and SARS-CoV-2 in COVID-19 patients.

Shabbir, Sana / Raza, Muhammad Hassan / Arshad, Muhammad / Khan, Muhammad Jawad

Archives of virology

2021 Volume 166, Issue 8, Page(s) 2109–2117

Abstract: Millions of people across the globe have been affected by coronavirus disease 2019 (COVID-19), which began in Wuhan, China, and is caused by SARS-CoV-2. COVID-19 has a variety of clinical characteristics and triggers immune responses required for the ... ...

Abstract	Millions of people across the globe have been affected by coronavirus disease 2019 (COVID-19), which began in Wuhan, China, and is caused by SARS-CoV-2. COVID-19 has a variety of clinical characteristics and triggers immune responses required for the elimination of the viral agent. Currently, no effective treatment options are available for targeting SARS-CoV-2 infection. Repurposing of drugs such as chloroquine, thalidomide, and leflunomide alongside convalescent plasma is being employed as a therapeutic strategy. Clinical studies have shown that both asymptomatic and symptomatic patients can have an extremely active immune response that is largely attributable to immune system modulations. This includes cytokine storm syndrome (CSS), which affects the adaptive immune system, leading to exhaustion of natural killer (NK) cells and thrombocytopenia in some cases. This review examines the interaction of SARS-CoV-2 with the host immune system and the potential for the development of appropriate immunotherapy for the treatment of COVID-19.
MeSH term(s)	CD8-Positive T-Lymphocytes/immunology ; COVID-19/immunology ; COVID-19/therapy ; Cytokine Release Syndrome/immunology ; Endoplasmic Reticulum Stress/immunology ; Humans ; Immunotherapy ; Inflammation ; Killer Cells, Natural/immunology ; SARS-CoV-2/physiology ; Thrombocytopenia/immunology
Language	English
Publishing date	2021-05-05
Publishing country	Austria
Document type	Journal Article ; Review
ZDB-ID	7491-3
ISSN	1432-8798 ; 0304-8608
ISSN (online)	1432-8798
ISSN	0304-8608
DOI	10.1007/s00705-021-05091-1
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Article ; Online: High level of lactate dehydrogenase and ischaemia-reperfusion injury regulate the multiple organ dysfunction in patients with COVID-19.

Ashraf, Aleena / Liaquat, Afrose / Shabbir, Sana / Bokhari, Saleem Ahmed / Tariq, Zainab / Furrukh, Zainab / Raja, Afraz Ahmad / Khan, Muhammad Jawad

Postgraduate medical journal

2023 Volume 99, Issue 1172, Page(s) 576–581

Abstract: Background: Multiple organ damage has been observed in patients with COVID-19, but the exact pathway is not known. Vital organs of the human body may get affected after replication of SARS-CoV-2, including the lungs, heart, kidneys, liver and brain. It ... ...

Abstract	Background: Multiple organ damage has been observed in patients with COVID-19, but the exact pathway is not known. Vital organs of the human body may get affected after replication of SARS-CoV-2, including the lungs, heart, kidneys, liver and brain. It triggers severe inflammation and impairs the function of two or more organ systems. Ischaemia-reperfusion (IR) injury is a phenomenon that can have disastrous effects on the human body. Methods: In this study, we analysed the laboratory data of 7052 hospitalised patients with COVID-19 including lactate dehydrogenase (LDH). A total of 66.4% patients were men and 33.6% were women, which indicated gender difference as a prominent factor to be considered. Results: Our data showed high levels of inflammation and elevated markers of tissue injury from multiple organs C reactive protein, white blood cell count, alanine transaminase, aspartate aminotransferase and LDH. The number of red blood cells, haemoglobin concentration and haematocrit were lower than normal which indicated a reduction in oxygen supply and anaemia. Conclusion: On the basis of these results, we proposed a model linking IR injury to multiple organ damage by SARS-CoV-2. COVID-19 may cause a reduction in oxygen towards an organ, which leads to IR injury.
MeSH term(s)	Male ; Humans ; Female ; COVID-19/complications ; SARS-CoV-2 ; L-Lactate Dehydrogenase ; Multiple Organ Failure/etiology ; Reperfusion Injury ; Inflammation ; Aspartate Aminotransferases ; Alanine Transaminase
Chemical Substances	L-Lactate Dehydrogenase (EC 1.1.1.27) ; Aspartate Aminotransferases (EC 2.6.1.1) ; Alanine Transaminase (EC 2.6.1.2)
Language	English
Publishing date	2023-06-12
Publishing country	England
Document type	Journal Article
ZDB-ID	80325-x
ISSN	1469-0756 ; 0032-5473
ISSN (online)	1469-0756
ISSN	0032-5473
DOI	10.1136/postgradmedj-2022-141573
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Article: Dengue hemorrhagic fever: a growing global menace.

Parveen, Shakeela / Riaz, Zainab / Saeed, Saba / Ishaque, Urwah / Sultana, Mehwish / Faiz, Zunaira / Shafqat, Zainab / Shabbir, Saman / Ashraf, Sana / Marium, Amna

Journal of water and health

2023 Volume 21, Issue 11, Page(s) 1632–1650

Abstract: Dengue virus is an arthropod-borne virus, transmitted by Aedes aegypti among humans. In this review, we discussed the epidemiology of dengue hemorrhagic fever (DHF) as well as the disease's natural history, cycles of transmission, clinical diagnosis, ... ...

Abstract	Dengue virus is an arthropod-borne virus, transmitted by Aedes aegypti among humans. In this review, we discussed the epidemiology of dengue hemorrhagic fever (DHF) as well as the disease's natural history, cycles of transmission, clinical diagnosis, aetiology, prevention, therapy, and management. A systematic literature search was done by databases such as PubMed and Google Scholar using search terms, 'dengue fever', 'symptoms and causes of dengue fever', 'dengue virus transmission', and 'strategies to control dengue'. We reviewed relevant literature to identify hazards related to DHF and the most recent recommendations for its management and prevention. Clinical signs and symptoms of dengue infection range from mild dengue fever (DF) to potentially lethal conditions like DHF or dengue shock syndrome (DSS). Acute-onset high fever, muscle and joint pain, myalgia, a rash on the skin, hemorrhagic episodes, and circulatory shock are among the most common symptoms. An early diagnosis is vital to lower mortality. As dengue virus infections are self-limiting, but in tropical and subtropical areas, dengue infection has become a public health concern. Hence, developing and executing long-term control policies that can reduce the global burden of DHF is a major issue for public health specialists everywhere.
MeSH term(s)	Humans ; Severe Dengue/epidemiology ; Severe Dengue/diagnosis ; Dengue/epidemiology ; Dengue/diagnosis ; Dengue Virus/physiology ; Disease Outbreaks ; Public Health
Language	English
Publishing date	2023-11-29
Publishing country	England
Document type	Review ; Journal Article
ZDB-ID	2123845-5
ISSN	1996-7829 ; 1477-8920
ISSN (online)	1996-7829
ISSN	1477-8920
DOI	10.2166/wh.2023.114
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Article: Machine learning methods for predicting major types of rheumatic heart diseases in children of Southern Punjab, Pakistan.

Shahid, Sana / Khurram, Haris / Billah, Baki / Akbar, Atif / Shehzad, Muhammad Ahmed / Shabbir, Muhammad Farhan

Frontiers in cardiovascular medicine

2022 Volume 9, Page(s) 996225

Abstract: Objective: Rheumatic heart disease (RHD) is a major health problem in the world, particularly in developing countries. This study aimed to predict mitral regurgitation (MR) and mitral stenosis (MS) RHD among children with RHD.: Methodology: Data was ... ...

Abstract	Objective: Rheumatic heart disease (RHD) is a major health problem in the world, particularly in developing countries. This study aimed to predict mitral regurgitation (MR) and mitral stenosis (MS) RHD among children with RHD. Methodology: Data was collected from the Pediatric Cardiology Department at Chaudhry Pervaiz Elahi Institute of Cardiology Multan, Pakistan from March to October 2019. A sample of 561 children aged 4-14 years, who were diagnosed with RHD of either MR or MS, were recruited from the hospital's outpatient department. The presence of multivariate outliers was detected, and different machine learning methods, including subset logistic regression, subset logistic regression after deletion, stepwise winsorized logistic regression, robust logistic regression, subset deep neural network, and random forest models were compared using the area under receiver operating characteristics (ROC) curve, sensitivity, and specificity. Parsimony was also considered in model selection. Results: Out of 561 patients in this study, 75.94% had RHD MR and 24.06% had RHD MS. The average age of study participants was 9.19 ± 2.45 years and of them 55.43% were male. Among the male participants, 58.6 and 45.2% had MR and MS, respectively; and among female participants, those were 70.4 and 29.6%, respectively. Subset logistic regression after deletion appeared as competitive with a discrimination power of 90.1% [95% CI 0.818-0.983]. The sensitivity and specificity of this model were 85.1 and 70.6%. Conclusion: The best predictive model was subset logistic regression after deletion. The predicted method will be used in the decision-making process, which helps early diagnosis of the disease and leads to prevention. The study findings provide the proper guideline for earlier diagnosis of the RHD MR and MS cases among children with RHD in Pakistan.
Language	English
Publishing date	2022-10-12
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2781496-8
ISSN	2297-055X
ISSN	2297-055X
DOI	10.3389/fcvm.2022.996225
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Article ; Online: Surface-enhanced Raman spectroscopy of the filtrate portions of the blood serum samples of breast cancer patients obtained by using 30 kDa filtration device.

Hajab, Hawa / Anwar, Ayesha / Nawaz, Haq / Majeed, Muhammad Irfan / Alwadie, Najah / Shabbir, Sana / Amber, Arooj / Jilani, Muhammad Idrees / Nargis, Hafiza Faiza / Zohaib, Muhammad / Ismail, Sidra / Kamal, Abida / Imran, Muhammad

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy

2024 Volume 311, Page(s) 124046

Abstract: Raman spectroscopy is reliable tool for analyzing and exploring early disease diagnosis related to body fluids, such as blood serum, which contain low molecular weight fraction (LMWF) and high molecular weight fraction (HMWF) proteins. The disease ... ...

Abstract	Raman spectroscopy is reliable tool for analyzing and exploring early disease diagnosis related to body fluids, such as blood serum, which contain low molecular weight fraction (LMWF) and high molecular weight fraction (HMWF) proteins. The disease biomarkers consist of LMWF which are dominated by HMWF hence their analysis is difficult. In this study, in order to overcome this issue, centrifugal filter devices of 30 kDa were used to obtain filtrate and residue portions obtained from whole blood serum samples of control and breast cancer diagnosed patients. The filtrate portions obtained in this way are expected to contain the marker proteins of breast cancer of the size below this filter size. These may include prolactin, Microphage migration inhabitation factor (MIF), γ-Synuclein, BCSG1, Leptin, MUC1, RS/DJ-1 present in the centrifuged blood serum (filtrate portions) which are then analyzed by the SERS technique to recognize the SERS spectral characteristics associated with the progression of breast cancer in the samples of different stages as compared to the healthy ones. The key intention of this study is to achieve early-stage breast cancer diagnosis through the utilization of Surface Enhanced Raman Spectroscopy (SERS) after the centrifugation of healthy and breast cancer serum samples with Amicon ultra-filter devices of 30 kDa. The silver nanoparticles with high plasmon resonance are used as a substrate for SERS analysis. Principal Component Analysis (PCA) and Partial Least Discriminant Analysis (PLS-DA) models are utilized as spectral classification tools to assess and predict rapid, reliable, and non-destructive SERS-based analysis. Notably, they were particularly effective in distinguishing between different SERS spectral groups of the cancerous and non-cancerous samples. By comparing all these spectral data sets to each other PLSDA shows the 79 % accuracy, 76 % specificity, and 81 % sensitivity in samples with AUC value of AUC = 0.774 SERS has proven to be a valuable technique for the rapid identification of the SERS spectral features of blood serum and its filtrate fractions from both healthy individuals and those with breast cancer, aiding in disease diagnosis.
MeSH term(s)	Humans ; Female ; Breast Neoplasms/diagnosis ; Spectrum Analysis, Raman/methods ; Metal Nanoparticles/chemistry ; Serum ; Silver/chemistry ; Principal Component Analysis
Chemical Substances	Silver (3M4G523W1G)
Language	English
Publishing date	2024-02-13
Publishing country	England
Document type	Journal Article
ZDB-ID	210413-1
ISSN	1873-3557 ; 0370-8322 ; 0584-8539 ; 1386-1425
ISSN (online)	1873-3557
ISSN	0370-8322 ; 0584-8539 ; 1386-1425
DOI	10.1016/j.saa.2024.124046
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