Electrostatic potentials of atomic nanostructures at metal surfaces quantified by scanning quantum dot microscopy.

The discrete and charge-separated nature of matter - electrons and nuclei - results in local electrostatic fields that are ubiquitous in nanoscale structures and relevant in catalysis, nanoelectronics and quantum nanoscience. Surface-averaging techniques provide only limited experimental access to these potentials, which are determined by the shape, material, and environment of the nanostructure. Here, we image the potential over adatoms, chains, and clusters of Ag and Au atoms assembled on Ag(111) and quantify their surface dipole moments. By focusing on the total charge density, these data establish a benchmark for theory. Our density functional theory calculations show a very good agreement with experiment and allow a deeper analysis of the dipole formation mechanisms, their dependence on fundamental atomic properties and on the shape of the nanostructures. We formulate an intuitive picture of the basic mechanisms behind dipole formation, allowing better design choices for future nanoscale systems such as single-atom catalysts.

Study to Determine the Prevalence of Menstrual Migraine in Reproductive-Age Women in Saudi Arabia.

BACKGROUND: Migraine is a common health condition in both men and women. Premenstrual syndrome (PMS) affects many women during their menstrual cycle, with around 50-60% of women with migraine attacks experiencing menstrual headaches. Most have mild symptoms, but 5-8% suffer from moderate to severe symptoms, causing distress and functional issues. Pure menstrual migraine (PMM) occurs in about 50% of women with migraine, and it can be debilitating in terms of frequency and severity. This information is crucial for Saudi Arabian medical professionals to provide better care and support, improving the quality of life for women with PMS and menstrual migraine (MM) attacks. OBJECTIVES: To estimate the prevalence of MM in women, to evaluate the severity and frequency of MM in women with PMS, and to identify potential risk factors aggravating MM in women with PMS in Saudi Arabia. METHODOLOGY: A cross-sectional community-based study was conducted on reproductive-aged (18-50 years) women who had regular menstrual cycles and were diagnosed with PMS, using a self-administered questionnaire between December 2022 to May 2023 in Saudi Arabia. RESULTS: Out of the 2130 female participants, 397 (18.6%) had migraine. Among these 397 migraine sufferers, 230 (57.9%) experienced MM, while 167 (42.1%) had non-MM. In reproductive women in general, MM occurred in 10.7% of cases, while non-MM was observed in 7.8%. There is a correlation between increasing BMI and an increased incidence of MM. About one-third of the participants experienced moderate disability due to migraine attacks, with 134 (33.8%) individuals affected. Additionally, most MM sufferers missed at least 3 days of work in the last 3 months due to their condition. CONCLUSIONS: Migraine attacks occurring during the menstrual cycle impair the ability to engage in social, physical, household, and academic activities, often hindering the fulfillment of professional commitments. To gain a deeper understanding of menstrual and non-menstrual migraine attacks, it is essential to conduct extensive prospective studies aimed at developing effective management strategies.

Wastewater-based epidemiology for tracking bacterial diversity and antibiotic resistance in COVID-19 isolation hospitals in Qatar.

BACKGROUND: Hospitals are hotspots for antimicrobial resistance genes (ARGs), and play a significant role in their emergence and spread. Large numbers of ARGs will be ejected from hospitals via wastewater systems. Wastewater-based epidemiology has been consolidated as a tool to provide real-time information, and represents a promising approach to understanding the prevalence of bacteria and ARGs at community level. AIMS: To determine bacterial diversity and identify ARG profiles in hospital wastewater pathogens obtained from coronavirus disease 2019 (COVID-19) isolation hospitals compared with non-COVID-19 facilities during the pandemic. METHODS: Wastewater samples were obtained from four hospitals: three assigned to patients with COVID-19 patients and one assigned to non-COVID-19 patients. A microbial DNA quantitative polymerase chain reaction was used to determine bacterial diversity and ARGs. FINDINGS: The assay recorded 27 different bacterial species in the samples, belonging to the following phyla: Firmicutes (44.4%), Proteobacteria (33.3%), Actinobacteria (11%), Bacteroidetes (7.4%) and Verrucomicrobiota (3.7%). In addition, 61 ARGs were detected in total. The highest number of ARGs was observed for the Hazem Mebaireek General Hospital (HMGH) COVID-19 patient site (88.5%), and the lowest number of ARGs was found for the HMGH non-patient site (24.1%). CONCLUSION: The emergence of contaminants in sewage water, such as ARGs and high pathogen levels, poses a potential risk to public health and the aquatic ecosystem.

Accurate quantification of the stability of the perylene-tetracarboxylic dianhydride on Au(111) molecule-surface interface.

Studying inorganic/organic hybrid systems is a stepping stone towards the design of increasingly complex interfaces. A predictive understanding requires robust experimental and theoretical tools to foster trust in the obtained results. The adsorption energy is particularly challenging in this respect, since experimental methods are scarce and the results have large uncertainties even for the most widely studied systems. Here we combine temperature-programmed desorption (TPD), single-molecule atomic force microscopy (AFM), and nonlocal density-functional theory (DFT) calculations, to accurately characterize the stability of a widely studied interface consisting of perylene-tetracarboxylic dianhydride (PTCDA) molecules on Au(111). This network of methods lets us firmly establish the adsorption energy of PTCDA/Au(111) via TPD (1.74 ± 0.10 eV) and single-molecule AFM (2.00 ± 0.25 eV) experiments which agree within error bars, exemplifying how implicit replicability in a research design can benefit the investigation of complex materials properties.

Identification and characterization of aldehyde dehydrogenase (ALDH) gene superfamily in garlic and expression profiling in response to drought, salinity, and ABA.

In response to biotic and abiotic stressors, aldehydes are detoxified and converted to carboxylic acids by aldehyde dehydrogenases (ALDHs), which are enzymes that use NAD+/NADP+ as cofactors. Garlic (Allium sativum L.) has not yet undergone a systematic examination of the ALDH superfamily, despite the genome sequence having been made public. In this investigation, we identified, characterized, and profiled the expression of the garlic ALDH gene family over the entire genome. The ALDH Gene Nomenclature Committee (AGNC) classification was used to classify and name the 34 ALDH genes that were discovered. Except for chromosome 8, all AsALDH genes were dispersed across the chromosomes. AsALDH genes have various localizations, according to predictions about subcellular localization. The AsALDH proteins are more varied and closely related to rice than to Arabidopsis, according to a study of conserved motifs and phylogenetic relationships. The presence of stress modulation pathways is indicated by the abundance of stress-related cis-elements in the AsALDH genes' promoter regions. Analysis of the RNA-seq data showed that AsALDHs expressed differently in various tissues and at various developmental stages. Nine AsALDHs were chosen for study using RT-qPCR, and the results revealed that the majority of the genes were upregulated in response to ABA and downregulated in response to salinity and drought. The results of this study improved our knowledge of the traits, evolutionary background, and biological functions of AsALDHs genes in growth and development.

Study to determine the epidemiology of treatment-resistant depression among the Saudi Arabian population: A cross-sectional study.

BACKGROUND: Depression is a common mental health disorder that affects millions of people worldwide. Globally, major depressive disorder (MDD) is a public health concern; nearly, it affects more than 300 million people. The coronavirus disease 2019 (COVID-19) pandemic lockdown, travel restrictions, social distancing, and COVID-19 vaccine acceptance have aggravated psychological disorders, such as depression and suicidal tendencies. Treatment-resistant depression (TRD) is typically defined as a lack of response to at least two different antidepressant medications or psychotherapies. TRD is common and has been associated with higher comorbidities and prolonged duration of illness, leading to a substantial medical and economic burden. MATERIALS AND METHODS: A cross-sectional study was designed to determine the epidemiology and estimate the prevalence of TRD in Abha City, Assir Region, Kingdom of Saudi Arabia. The study includes adult patients who were attended to the psychiatry department and aged 18-65 years diagnosed with major depressive depression. A total of 651 study participants were recruited. RESULTS: Of the total 651 depressive disorder cases, 134 (20.6%) were reported as TRD and the remaining 517 (79.4%) were nontreatment-resistant depressive cases. Of the 651 depression participants, 176 (27%) were males and 475 (73%) were females. More than one-quarter (180 (28%)) had been associated with chronic morbidity. One-tenth of the depressive patients were suffering from thyroid disorders, followed by hypertension (10%), autoimmune diseases (10%), and diabetes mellitus (8%). CONCLUSIONS: TRD emerged as a threat to public health and challenging psychiatric care providers, and further innovative techniques and effective newer drugs to treat depression need to be researched. The treatment complaint mechanism is warranted, encouraging people to get treatment from the psychiatrist by removing the stigma of mental illness, which is needed to improve the quality of life of TRD patients.

Clinical-Epidemiology of Tension-Type Headache among the Medical and Dental Undergraduates of King Khalid University, Abha, Saudi Arabia.

Introduction (background): Headache is the primary complaint among students. Headaches mostly have multifactorial causes. The degree of headache severity significantly impacts attitudes, behavior, and academic performance. Objectives: Here, we investigate the demographic epidemiology of tension-type headaches (T.T.H.), and determine the clinical presentation and triggers of the tension-type among headache sufferers. Methods (settings, design): An institutional-based cross-sectional study (descriptive) was conducted on the medical and dental undergraduates at King Khalid University, Abha, Saudi Arabia, from 1 July 2021 to 31 December 2021. Data were gathered using a pre-designed questionnaire. A consecutive sampling method was used in a COVID-19-constrained environment. After preliminary screening of the study population, 460 samples were included. An electronic questionnaire was shared with them, and they were requested to respond. Results: More than half of the participants (258, 56.1%) experienced tension-type headaches, while the remaining 202 (43.9%) never felt a headache. Tension-type headaches manifested as heaviness of the head (44, 17.0%), tightness (126, 48.8%), and dull aching pain (66, 25.7%). Conclusions: T.T.H. is a prevalent condition with a significant impingement on academic work, and psychological health. Tension-type headache sufferers are advised to keep daily diaries to determine triggers, and plan for prevention and treatment progression.

Peptide-based LDH5 inhibitors enter cancer cells and impair proliferation.

Lactate dehydrogenase 5 (LDH5) is overexpressed in many cancers and is a potential target for anticancer therapy due to its role in aerobic glycolysis. Small-molecule drugs have been developed as competitive inhibitors to bind substrate/cofactor sites of LDH5, but none reached the clinic to date. Recently, we designed the first LDH5 non-competitive inhibitor, cGmC9, a peptide that inhibits protein-protein interactions required for LDH5 enzymatic activity. Peptides are gaining a large interest as anticancer agents to modulate intracellular protein-protein interactions not targetable by small molecules; however, delivery of these peptides to the cytosol, where LDH5 and other anticancer targets are located, remains a challenge for this class of therapeutics. In this study, we focused on the cellular internalisation of cGmC9 to achieve LDH5 inhibition in the cytosol. We designed cGmC9 analogues and compared them for LDH5 inhibition, cellular uptake, toxicity, and antiproliferation against a panel of cancer cell lines. The lead analogue, [R/r]cGmC9, specifically impairs proliferation of cancer cell lines with high glycolytic profiles. Proteomics analysis showed expected metabolic changes in response to decreased glycolysis. This is the first report of a peptide-based LDH5 inhibitor able to modulate cancer metabolism and kill cancer cells that are glycolytic. The current study demonstrates the potential of using peptides as inhibitors of intracellular protein-protein interactions relevant for cancer pathways and shows that active peptides can be rationally designed to improve their cell permeation.

Cancer care for Ukrainian refugees: Strategic impact assessments in the early days of the conflict.

BACKGROUND: The invasion of Ukraine by Russia in February 2022 has resulted in destruction of healthcare infrastructure and triggered the largest wave of internally displaced populations and refugees since World War Two. Conflicts in transitioned countries such as Ukraine create new non-communicable disease (NCD) challenges, especially for cancer care for refugees and humanitarian assistance in host countries. In the early days, rapid attempts were made to model possible impacts. METHODS: By evaluating open source intelligence used in the first three months of the conflict through snowball search methods, we aimed to address: (i) burden of cancer in Ukrainian population, specifically considering translating to the refugees population, and its cancer care capacity; ii) baseline capacity/strengths of cancer systems in initial host countries. Moreover, using a baseline scenario based on crude cancer incidence in Ukraine, and considering data from UNHCR, we estimated how cancer cases would be distributed across host countries. Finally, a surveillance assessment instrument was created, intersecting health system's capacity and influx of internally displaced populations and refugees. FINDINGS AND CONCLUSIONS: The total new cancer patients per month in pre-conflict Ukraine was estimated as 13,106, of which < 1 % are paediatric cases. The estimated cancer cases in the refugee population (combining prevalent and incident), assuming 7.5 million refugees by July 2022 and a female:male ratio of 9:1, was 33,121 individuals (Poland: 19284; Hungary: 3484; Moldova: 2651; Slovakia: 2421; Romania: 5281). According to our assessments, Poland is the only neighbouring country classified as green/yellow for cancer capacity, i.e. sufficient ablility to absorb additional burden into national health system; Slovakia we graded as yellow, Hungary and Romania as yellow/red and Moldova as red.

A global dynamic runoff application and dataset based on the assimilation of GPM, SMAP, and GCN250 curve number datasets.

Runoff modelling is a crucial element in hydrologic sciences. However, a global runoff database is not currently available at a resolution higher than 0.1°. We use the recently developed Global Curve Number dataset (GCN250) to develop a dynamic runoff application (2015 - present) and that can be accessed via a Google Earth Engine application. We also provide a global mean monthly runoff dataset for April 2015-2021 in GeoTIFF format at a 250-meter resolution. We utilize soil moisture and GPM rainfall to dynamically retrieve the appropriate curve number and generate the corresponding runoff anywhere on Earth. Mean annual global runoff ratio results for 2021 were comparable to the runoff ratio from the Global Land Data Assimilation System (0.079 vs. 0.077, respectively). Mean annual global runoff from GCN and GLDAS were within 11% each other for 2020-2021 (0.18 vs. 0.16 mm/day, respectively). The GCN250 runoff application and the dataset are useful for many water applications such hydrologic design, land management, water resources management, and flood risk assessment.

Design Principles for Metastable Standing Molecules.

Molecular nanofabrication with a scanning probe microscope (SPM) is a promising route toward the prototyping of metastable functional molecular structures and devices which do not form spontaneously. The aspect of mechanical stability is crucial for such structures, especially if they extend into the third dimension vertical to the surface. A prominent example is freestanding molecules fabricated on a metal which can function as field emitters or electric field sensors. Improving the stability of such molecular configurations is an optimization task involving many degrees of freedom and therefore best tackled by computational nanostructure design. Here, we use density functional theory to study 3,4,9,10-perylene-tetracarboxylic dianhydride (PTCDA) standing on the Ag(111) surface as well as on the tip of a scanning probe microscope. We cast our results into a simple set of design principles for such metastable structures, the validity of which we subsequently demonstrate in two computational case studies. Our work proves the capabilities of computational nanostructure design in the field of metastable molecular structures and offers the intuition needed to fabricate new devices without tedious trial and error.

The stabilization potential of a standing molecule.

The part-by-part assembly of functional nanoscale machinery is a central goal of nanotechnology. With the recent fabrication of an isolated standing molecule with a scanning probe microscope, the third dimension perpendicular to the surface will soon become accessible to molecule-based construction. Beyond the flatlands of the surface, a wealth of structures and functionalities is waiting for exploration, but issues of stability are becoming more critical. Here, we combine scanning probe experiments with ab initio potential energy calculations to investigate the thermal stability of a prototypical standing molecule. We reveal its generic stabilization mechanism, a fine balance between covalent and van der Waals interactions including the latter's long-range screening by many-body effects, and find a remarkable agreement between measured and calculated stabilizing potentials. Beyond their relevance for the design and construction of three-dimensional molecular devices at surfaces, our results also indicate that standing molecules may serve as tunable mechanical gigahertz oscillators.

An Evaluation Method for Meeting the Requirement of IEC 60825-1 Laser Safety Standard for Viewing Temporally-varied Radiant Power.

ABSTRACT: There is no article discussing how to apply the International Electrotechnical Commission (EIC) 60825-1 standard to evaluate laser safety for irregular non-pulsed signal. Yet, as more and more laser applications are introduced, it is very possible that laser radiant power is irregular non-pulsed signal. Here, we present a method of laser safety evaluation for thermal damage under Requirement 3 of the IEC 60825-1 standard.

PD-L1 overexpression conveys tolerance of mesenchymal stem cell-derived cardiomyocyte-like cells in an allogeneic mouse model.

Although the autologously transplanted cells are immunologically durable, allogeneic cell transplantation is inevitable in a series of cases. Mesenchymal stem cells (MSCs) are one of the suitable candidates for cardiac tissue regeneration that have been shown to acquire immunogenicity concurrent with cardiomyogenic differentiation. The present study aimed to exploit PD-L1, as a key immunomodulatory checkpoint ligand to protect the MSCs-derived cardiomyocyte-like cells (CLCs) against the detrimental alloimmunity. Mouse bone marrow-derived MSCs were stably transduced to overexpress PD-L1. MSCs were in vitro differentiated into CLCs and the expressions of immunologic molecules were compared between MSCs and CLCs. The in vitro and in vivo allogeneic immune responses were also examined. The differentiated CLCs had higher expressions of MHC-I and CD80. Upon in vitro coculture with allogeneic splenocytes, CLCs caused more CD4+ and CD8+ T cell activation, lymphocyte proliferation, and interferon-γ (IFN-γ) release in comparison to MSCs. PD-L1 overexpression on CLCs decreased the activation of CD8+ T cells, proliferation of lymphocytes, and release of IFN-γ. The PD-L1-overexpressing CLCs elicited lower in vivo CD4+ and CD8+ T cell activation and reduced the anti-donor antibody response accompanied by increased durability and reduced T cell infiltration. The present study verified the potential of PD-L1 overexpression as a preparative strategy for the protection of allogeneic MSCs-derived CLCs against the detrimental alloreaction.

Understanding how geographic, demographic and treatment history impact health outcomes of patients with multi-drug-resistant tuberculosis in Pakistan, 2014-2017.

Tuberculosis (TB) is one of the top 10 leading causes of morbidity and mortality worldwide [1]. In 2017, approximately 10 million people were infected with TB and 1.3 million patients faced mortality [1]. Patients with active TB can infect up to 10-15 people over a year. There is a greater risk of transmission in overcrowded areas with limited air ventilation including large family units, prisons and slums [1, 2]. Without proper diagnosis and treatment, roughly 45% of non-HIV positive TB patients face mortality [1]. With the help of global organizations and national TB treatment and control programmes, the global incidence of TB is declining by approximately 2% each year [1]. The World Health Organization (WHO) TB-strategy aims to end the TB epidemic and encourages partners to fund national TB programmes to improve diagnosis and treatment of TB. The goal is to ultimately decrease death rates by 90% and decrease incidence rates by 80% [1]. To achieve these goals, the decline in TB incidence needs to reach approximately 4-5% per year [1]. The WHO 2018 TB report identified multidrug resistant TB (MDR-TB) as the leading factor hindering that goal [1]. The incidence and spread of MDR-TB has drastically increased, where approximately 558 000 new cases of MDR-TB were diagnosed in 2017 causing more than 230 000 deaths globally [1]. MDR-TB is identified by resistance to the two most powerful anti-TB treatment drugs including isoniazid and rifampicin [3]. Patients with MDR-TB are required to start second-line anti-TB drugs (SLDs), which are limited, expensive, less effective and more toxic [1,2]. Therapy duration is one of the major limitations of second-line treatments, which may require up to two years of consistent use. Since TB affects mostly developing countries, long treatment durations and associated costs become a major challenge. In 2015, 15% of new TB cases were reported as MDR-TB, which drastically increased to 24% by 2017 [1]. Even with significant improvements in molecular tests and diagnostic methods, MDR-TB is still on the rise where the success rate of treatments is between 50 and 60% [1]. Additional characteristics including socioeconomic and sociocultural factors need to be considered when targeting and treating patients with MDR-TB.

A Conditional Protein Degradation System To Study Essential Gene Function in Cryptosporidium parvum.

Cryptosporidium spp., protozoan parasites, are a leading cause of global diarrhea-associated morbidity and mortality in young children and immunocompromised individuals. The limited efficacy of the only available drug and lack of vaccines make it challenging to treat and prevent cryptosporidiosis. Therefore, the identification of essential genes and understanding their biological functions are critical for the development of new therapies. Currently, there is no genetic tool available to investigate the function of essential genes in Cryptosporidium spp. Here, we describe the development of the first conditional system in Cryptosporidium parvum Our system utilizes the Escherichia coli dihydrofolate reductase degradation domain (DDD) and the stabilizing compound trimethoprim (TMP) for conditional regulation of protein levels in the parasite. We tested our system on the calcium-dependent protein kinase-1 (CDPK1), a leading drug target in C. parvum By direct knockout strategy, we establish that cdpk1 is refractory to gene deletion, indicating its essentiality for parasite survival. Using CRISPR/Cas9, we generated transgenic parasites expressing CDPK1 with an epitope tag, and localization studies indicate its expression during asexual parasite proliferation. We then genetically engineered C. parvum to express CDPK1 tagged with DDD. We demonstrate that TMP can regulate CDPK1 levels in this stable transgenic parasite line, thus revealing the critical role of this kinase in parasite proliferation. Further, these transgenic parasites show TMP-mediated regulation of CDPK1 levels in vitro and an increased sensitivity to kinase inhibitor upon conditional knockdown. Overall, this study reports the development of a powerful conditional system that can be used to study essential genes in CryptosporidiumIMPORTANCECryptosporidium parvum and Cryptosporidium hominis are leading pathogens responsible for diarrheal disease (cryptosporidiosis) and deaths in infants and children below 5 years of age. There are no effective treatment options and no vaccine for cryptosporidiosis. Therefore, there is an urgent need to identify essential gene targets and uncover their biological function to accelerate the development of new and effective anticryptosporidial drugs. Current genetic tool allows targeted disruption of gene function but leads to parasite lethality if the gene is essential for survival. In this study, we have developed a genetic tool for conditional degradation of proteins in Cryptosporidium spp., thus allowing us to study the function of essential genes. Our conditional system expands the molecular toolbox for Cryptosporidium, and it will help us to understand the biology of this important human diarrheal pathogen for the development of new drugs and vaccines.

A cultural adaptation and validation of a child eating behaviour measure in a low- and middle-income country.

OBJECTIVE: The Child Eating Behaviour Questionnaire (CEBQ), a widely used instrument that has been validated mostly in high-income countries, has limitations in its factorial validity when used among different cultures. This study examines whether the CEBQ instrument is culturally appropriate and valid to be used in a low- and middle-income country (LMIC) in a setting where child undernutrition remains prevalent. DESIGN: The study employed a qualitative process to validate the content of items relative to the culture and setting, which was followed by a survey to test the psychometric properties of the instrument. Tests of factorial validity, convergent validity and reliability were performed. SETTING: Three different socio-economic settings of Yogyakarta, Indonesia. PARTICIPANTS: The participants of this study were mothers of children aged 25-60 months. In-depth interviews were conducted with twenty-four mothers and the questionnaire validation process involved 238 mothers in the survey. RESULTS: A Confirmatory Factor Analysis model with eight subscales provided the best fit (root-mean-square error of approximation = 0·048 (90 % CI 0·040, 0·057); Comparative Fit Index = 0·95 and Tucker Lewis Index = 0·95) after three new items and eight items from the original CEBQ were removed. Convergent validity with child's weight was found for two subscales, slowness in eating and satiety responsiveness. Reliability measured using Cronbach's alpha provided values between 0·62 and 0·78. CONCLUSION: The original eight-factor structure of the CEBQ showed adequate content validity and provided factorial, discriminant and convergent validity with mothers of preschool children living in a LMIC where child nutrition remains a significant public health issue.

GCN250, new global gridded curve numbers for hydrologic modeling and design.

The USDA curve-number (CN) method is fundamental for rainfall-runoff modeling. A global CN database is not currently available for geospatial hydrologic analysis at a resolution higher than 0.1°. We developed a globally consistent, gridded dataset defining CNs at the 250 m spatial resolution from new global land cover (300 m) and soils data (250 m). The resulting data product - GCN250 - represents runoff for a combination of the European space agency global land cover dataset for 2015 (ESA CCI-LC) resampled to 250 m and geo-registered with the hydrologic soil group global data product (HYSOGs250m) released in 2018. Our analysis indicated that medium to high runoff potential currently dominates the globe, with curve numbers ranging between 75 and 85. Global curve numbers were 62, 78, and 90 for dry, average, and wet antecedent runoff conditions, respectively. Australia has the highest runoff potential, while Europe has the lowest. Runoff ratios compare well with GLDAS. The potential application of this data includes hydrologic design, land management applications, flood risk assessment, and groundwater recharge modeling.

Factors Associated with Mothers' Care of Their Newborns in Saudi Arabia.

BACKGROUND: Infant mortality rates are highest in the southern regions of Saudi Arabia, compared to other regions in the kingdom. OBJECTIVE: To measure demographic factors associated with mothers' levels of knowledge and practice of care for their newborns in Jazan region, south of Saudi Arabia. METHODS: This is a cross-sectional study conducted between November and December 2018 in Jazan region, Saudi Arabia, on the northern borders of Yemen. A questionnaire was utilised to measure mothers' level of knowledge and practice of newborn care. Data was collected via interviews, and a scoring system was developed to classify knowledge level and practice adequacy. Logistic regression was used to assess the presence of statistically significant associations between demographic factors and level of knowledge and practice adequacy. FINDINGS: A total of 450 mothers participated in the current investigation. A majority of participating mothers were able to give correct answers, where the mean level of knowledge was 11.85/16 [SD: 2.6]. Additionally, the mean score for practice adequacy was 7.11/10 [SD: 1.45]. However, 122 mothers (27%) reported using alternative treatments to treat their newborns instead of seeking professional health care from available health services. Additionally, 42 mothers (9.3%) reported not attending any antenatal visits during their pregnancy. Factors which were found to be statistically associated with knowledge were education level, employment status, and adherence to antenatal visits during pregnancy (p < 0.05). Age and employment status appeared to be associated with practice where older and employed mothers had higher odds of competency (p < 0.05). CONCLUSIONS: The proportions of correct answers measuring knowledge and practice adequacy concerning newborn care varied between 40% to 93%. Knowledge and practice appeared to be associated with demographic factors, such as level of education, age, and attending antenatal care visits.