bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sternoclavicular Joint Reconstruction Using the Sternal Docking Technique
Authors: Raji Yazdan , Loughran Galvin J. , Bugarinovic George , Freehill Michael T. 
Published: January 2025

Background: Sternoclavicular joint (SCJ) dislocations may occur as the result of traumatic injury, ligamentous laxity, or chronic arthropathy. While initial management of anterior sternoclavicular dislocations is typically nonoperative treatment, patients with symptomatic chronic dislocation may benefit from reconstruction. In this video, we describe the sternal docking technique for SCJ reconstruction using a semitendinosus allograft augmented with a biologic collagen scaffold. Indications: Current indications for SCJ reconstruction include acute posterior dislocations, symptomatic chronic anterior dislocations, and cases of symptomatic arthropathies of the SCJ. Technique Description: In a lazy beach-chair position, a curvilinear incision is made over the anterior SCJ centered over the inferior portion of the joint. After exposure of the joint, the intra-articular disc and 5 mm of medial clavicle are resected. A 4-mm bur is used to open the intramedullary canal on the articular facet of the manubrium and the medial clavicle. Additional perforations to act as tunnels are made on the anterior aspects of the manubrium and medial clavicle both superiorly and inferiorly, and a small curved curette is used to widen the tunnels and connect them to their respective intramedullary canals to allow for graft passage. The semitendinosus graft is whipstitched to a biologic collagen shoestring scaffold and passed through the tunnels. The joint is reduced, and the graft is sutured together over the top of the medial clavicle with appropriate tension. Results: The sternal docking technique was successfully implemented for the reconstruction of a chronic anterior SCJ dislocation and allowed the patient to return to full pain-free activity by 16 weeks. Discussion: Chronic anterior SCJ dislocations may fail to respond to conservative treatment measures necessitating operative reconstruction. The sternal docking technique using semitendinosus allograft augmented with a biologic shoestring scaffold described here is a safe and effective reconstructive technique. Patient Consent Disclosure Statement: The author(s) attests that consent has been obtained from any patient(s) appearing in this publication. If the individual may be identifiable, the author(s) has included a statement of release or other written form of approval from the patient(s) with this submission for publication.
Preterm preeclampsia screening and prevention: a comprehensive approach to implementation in a real-world setting
Authors: Ronzoni Stefania , Rashid Shamim , Santoro Aimee , Mei-Dan Elad , Barrett Jon , Okun Nanette , Huang Tianhua 
Published: January 2025

Abstract

Background
Preeclampsia significantly impacts maternal and perinatal health. Early screening using advanced models and primary prevention with low-dose acetylsalicylic acid for high-risk populations is crucial to reduce the disease’s incidence. This study assesses the feasibility of implementing preterm preeclampsia screening and prevention by leveraging information from our current aneuploidy screening program in a real-world setting with geographic separation clinical site and laboratory analysis site.

Methods
A prospective cohort study involved pregnant individuals undergoing nuchal translucency scans between 11 and 14 weeks. Risk for preterm preeclampsia was assessed using the Fetal Medicine Foundation algorithm, which includes maternal risk factors, uterine artery Doppler, mean arterial pressure and serum markers (Placental growth factor, PlGF and Pregnancy-associated plasma protein-A, PAPP-A). High-risk patients were offered low-dose acetylsalicylic acid prophylaxis. Feasibility outcomes, such as recruitment rates, protocol adherence, operational impact, integration with existing workflows, screening performance and pregnancy outcomes, were evaluated.

Results
Out of 974 participants, 15.6% were deemed high-risk for preterm preeclampsia. The study achieved high recruitment (82.1%) and adherence rates, with 95.4% of high-risk patients prescribed low-dose acetylsalicylic acid. Screening performance, adjusted for low-dose acetylsalicylic acid use, showed a detection rate of 88.9–90% (FPR 13.0% and 12.7%) for preterm preeclampsia. High-risk group for preeclampsia had higher incidences of adverse outcomes, including preterm preeclampsia (7.5 vs 0.4%; p < 0.001), preterm delivery (21.2 vs 6.2%; p < 0.001), low birth weight (23.3 vs 5.6%; p < 0.001) and birthweight < 10th percentile (11% vs 5.6%; p = 0.015) compared to low-risk group. The integration of preeclampsia screening had a minimal effect on the time required for aneuploidy screening, with results obtained within a rapid turnaround time.

Conclusions
The study confirms the feasibility of integrating comprehensive preeclampsia screening into clinical practice, notwithstanding geographic separation between laboratory and clinical settings. It underscores the need for broader adoption and enhanced infrastructure to optimize patient care and outcomes across diverse healthcare settings.

Trial registration
Clinical trial: NCT04412681 (2020–06-02).
High-reward, high-risk technologies? An ethical and legal account of AI development in healthcare
Authors: Corfmat Maelenn , Martineau Joé T. , Régis Catherine 
Published: January 2025

Abstract

Background
Considering the disruptive potential of AI technology, its current and future impact in healthcare, as well as healthcare professionals’ lack of training in how to use it, the paper summarizes how to approach the challenges of AI from an ethical and legal perspective. It concludes with suggestions for improvements to help healthcare professionals better navigate the AI wave.

Methods
We analyzed the literature that specifically discusses ethics and law related to the development and implementation of AI in healthcare as well as relevant normative documents that pertain to both ethical and legal issues. After such analysis, we created categories regrouping the most frequently cited and discussed ethical and legal issues. We then proposed a breakdown within such categories that emphasizes the different - yet often interconnecting - ways in which ethics and law are approached for each category of issues. Finally, we identified several key ideas for healthcare professionals and organizations to better integrate ethics and law into their practices.

Results
We identified six categories of issues related to AI development and implementation in healthcare: (1) privacy; (2) individual autonomy; (3) bias; (4) responsibility and liability; (5) evaluation and oversight; and (6) work, professions and the job market. While each one raises different questions depending on perspective, we propose three main legal and ethical priorities: education and training of healthcare professionals, offering support and guidance throughout the use of AI systems, and integrating the necessary ethical and legal reflection at the heart of the AI tools themselves.

Conclusions
By highlighting the main ethical and legal issues involved in the development and implementation of AI technologies in healthcare, we illustrate their profound effects on professionals as well as their relationship with patients and other organizations in the healthcare sector. We must be able to identify AI technologies in medical practices and distinguish them by their nature so we can better react and respond to them. Healthcare professionals need to work closely with ethicists and lawyers involved in the healthcare system, or the development of reliable and trusted AI will be jeopardized.
Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms
Authors: Ogwel Billy , Mzazi Vincent H. , Awuor Alex O. , Okonji Caleb , Anyango Raphael O. , Oreso Caren , Ochieng John B. , Munga Stephen , Nasrin Dilruba , Tickell Kirkby D. , Pavlinac Patricia B. , Kotloff Karen L. , Omore Richard 
Published: January 2025

Abstract

Background
Despite the adverse health outcomes associated with longer duration diarrhea (LDD), there are currently no clinical decision tools for timely identification and better management of children with increased risk. This study utilizes machine learning (ML) to derive and validate a predictive model for LDD among children presenting with diarrhea to health facilities.

Methods
LDD was defined as a diarrhea episode lasting ≥ 7 days. We used 7 ML algorithms to build prognostic models for the prediction of LDD among children < 5 years using de-identified data from Vaccine Impact on Diarrhea in Africa study (N = 1,482) in model development and data from Enterics for Global Health Shigella study (N = 682) in temporal validation of the champion model. Features included demographic, medical history and clinical examination data collected at enrolment in both studies. We conducted split-sampling and employed K-fold cross-validation with over-sampling technique in the model development. Moreover, critical predictors of LDD and their impact on prediction were obtained using an explainable model agnostic approach. The champion model was determined based on the area under the curve (AUC) metric. Model calibrations were assessed using Brier, Spiegelhalter’s z-test and its accompanying p-value.

Results
There was a significant difference in prevalence of LDD between the development and temporal validation cohorts (478 [32.3%] vs 69 [10.1%]; p < 0.001). The following variables were associated with LDD in decreasing order: pre-enrolment diarrhea days (55.1%), modified Vesikari score(18.2%), age group (10.7%), vomit days (8.8%), respiratory rate (6.5%), vomiting (6.4%), vomit frequency (6.2%), rotavirus vaccination (6.1%), skin pinch (2.4%) and stool frequency (2.4%). While all models showed good prediction capability, the random forest model achieved the best performance (AUC [95% Confidence Interval]: 83.0 [78.6–87.5] and 71.0 [62.5–79.4]) on the development and temporal validation datasets, respectively. While the random forest model showed slight deviations from perfect calibration, these deviations were not statistically significant (Brier score = 0.17, Spiegelhalter p-value = 0.219).

Conclusions
Our study suggests ML derived algorithms could be used to rapidly identify children at increased risk of LDD. Integrating ML derived models into clinical decision-making may allow clinicians to target these children with closer observation and enhanced management.
Larviciding for malaria control and elimination in Africa
Authors: Newby Gretchen , Chaki Prosper , Latham Mark , Marrenjo Dulcisária , Ochomo Eric , Nimmo Derric , Thomsen Edward , Tatarsky Allison , Juma Elijah O. , Macdonald Michael 
Published: January 2025

Abstract

Background
Global progress toward malaria elimination and eradication goals has stagnated in recent years, with many African countries reporting increases in malaria morbidity and mortality. Insecticide-treated nets and indoor residual spraying are effective, but the emergence and increased intensity of insecticide resistance and the challenge of outdoor transmission are undermining their impact. New tools are needed to get back on track towards global targets. This Perspective explores the major challenges hindering wider-scale implementation of larviciding in Africa and identifies potential solutions and opportunities to overcome these barriers.

Larviciding in Africa: overview, challenges, and solutions
Larviciding is a valuable vector control tool with strong potential for regional scale-up. There is considerable evidence of its effectiveness, and the World Health Organization (WHO) recommends it as a supplemental intervention. However, malaria programmes hoping to implement larviciding face significant barriers, including (1) poor global technical, policy, and funding support; (2) fragmented implementation and experience; (3) high complexity of delivery and impact evaluation; and (4) limited access to the full range of WHO prequalified larvicide products. Strategic barriers related to global policy and donor hesitancy can be overcome through a coordinated demonstration of cost-effectiveness. Technological advancements and strengthened operational capacity have already overcome technical barriers related to larvicide delivery, targeting, coverage, and evaluation. Developing a Community of Practice platform for larviciding has strong potential to consolidate efforts, addressing the challenge of fragmented implementation and experience. Such a platform can serve as a resource center for African malaria programmes, collating and disseminating technical guidance, facilitating the exchange of best practices, and aiding malaria programmes and partners in designing and evaluating larviciding projects.

Conclusion
The global shift toward targeted and adaptive interventions enables the incorporation of larviciding into an expanded vector control toolbox. As more African countries implement larvicide programmes, establishing a regional Community of Practice platform for exchanging experiences and best practices is necessary to strengthen the evidence base for cost-effective implementation, advocate for support, and inform policy recommendations, thus supporting Africa’s progress toward malaria elimination.
Assessment of typing methods, virulence genes profile and antimicrobial susceptibility for clinical isolates of Proteus mirabilis
Authors: Salama Lamiaa A. , Saleh Hazem Hamed , Abdel-Rhman Shaymaa H. , Barwa Rasha , Hassan Ramadan 
Published: January 2025

Abstract

Proteus mirabilis (P. mirabilis) is one of the most important causative pathogens associated with complicated urinary tract infections with a 20% incidence. For epidemiological determinations, several phenotypic and molecular typing methods have been implicated. Sixty P. mirabilis isolated undergo antibiotic susceptibility test by standard Kirby Bauer method. They showed high resistance to nitrofurantoin and trimethoprim/sulfamethoxazole that appear mainly in 3rd age group. The 2nd age group comprised most of the resistant isolates to the tested antibiotics. A total of 73.33% of isolates were classified as multi drug resistance (MDR) and 78.3% of isolates were distributed in several antibiotypes with MAR index over 0.2. Twenty-one isolates were strong biofilm-producers and they were significantly related to MDR. Different virulence factors as protease, urease and hemolysin production are detected. Detection of several virulence genes by PCR; zapA and ureC were harbored by all isolates, followed by rsbA (95%), ureA and flaA (93%), hpmA (91.7%) and mrpA (73.3%). Determination of genetic diversity between isolates was performed by different methods (RAPD, ISSR, ERIC, BOX-AIR and REP-PCR) by using several parameters as typeability and discriminatory power indicating that ERIC-PCR was the best method followed by REP-PCR 1R. Rand’s & Wallace coefficients were used for calculating the congruence among typing methods. Conclusions: The results obtained from both conventional and molecular typing methods indicated that molecular methods are superior to conventional methods in the discrimination of isolates. ERIC-PCR and Rep-PCR provide high discrimination ability among P. mirabilis clinical isolates contributing to epidemiological studies.
Protective effects of Notoginsenoside R2 on reducing lipid accumulation and mitochondrial dysfunction in diabetic nephropathy through regulation of c-Src
Authors: Guo Xieyi , Yang Liu , An Xiaoning , Hu Maofang , Shen Yilan , Wang Niansong , Xu Youhua , Gui Dingkun 
Published: January 2025

Abstract

Background
The treatment options to delay the progression of diabetic nephropathy (DN), a key contributor to chronic kidney disease (CKD), are urgently needed. Previous studies reported that traditional Chinese medicine Panax notoginseng (PNG) exerted beneficial effects on DN. However, the renoprotective effects of Notoginsenoside R2 (NR2), an active component of PNG, on DN have not been investigated. This study aimed to assess the therapeutic potential of NR2 in DN and explore its underlying mechanisms.

Methods

In vivo models were developed using db/db mice, while in vitro models utilized HK-2 cells exposed to high glucose and palmitic acid (HGPA). Online databases and Cytoscape software were employed to predict the potential targets of NR2. The expression of associated proteins was measured using immunohistochemistry and western blot. Lipid accumulation, oxidative stress levels, mitochondrial function and cell apoptosis were also assessed. Small interfering RNA was used in in vitro experiments to examine the effect of c-Src.

Results
NR2 ameliorated albuminuria, renal function and renal pathology in db/db mice. The activation of c-Src was suppressed in db/db mice and in HK-2 cells exposed to HGPA. NR2 inhibited JNK/STAT1 phosphorylation and CD36 overexpression. NR2 also ameliorated lipid accumulation, oxidative stress, mitochondrial dysfunction and cell apoptosis in vivo and in vitro. By inhibiting c-Src, HK-2 cells exposed to HGPA experienced less lipid deposition and mitochondrial damage, indicating the renoprotective effects of NR2 were correlated with the inhibition of c-Src.

Conclusion
NR2 ameliorated mitochondrial dysfunction and delayed the progression of DN partly through suppression of c-Src. The protective effects of NR2 might be related to a reduction in lipid accumulation.

Graphical Abstract
Comparison of whole genome sequencing performance from fish swabs and fin clips
Authors: Macphee Annabell , Oriowo Temitope Opeyemi , Sternberg Nils , Stange Madlen 
Published: January 2025

Abstract

Objective
Fin clipping is the standard DNA sampling technique for whole genome sequencing (WGS) of small fish. The collection of fin clips requires anaesthesia or even euthanisation of the individual. Swabbing may be a less invasive, non-lethal alternative to fin-clipping. Whether skin and gill swabs are comparable to fin clips in terms of DNA extraction quality and sequence read mapping performance from WGS was tested here on Eurasian minnows (Phoxinus phoxinus).

Results
Of 49 fin clips, all met the DNA concentration threshold of 20 ng/μl, whereas 43 of 88 swabs met this requirement. Preserving swabs in ATL buffer and treatment with Proteinase K during DNA extraction consistently raised skin swab DNA concentrations above the cut-off. All samples passed the A260/A280 absorbance ratio cut-off of 1.3. Ultimately, 93.88% of the fin clips, 30.61% of the skin, and 7.69% of the gill swabs were suitable for sequencing. Mapping performances of all three tissues were comparable in reads passing quality filtering, percentage of reads mapping to the P. phoxinus reference genome, and coverage. Overall, skin swabs treated with Proteinase K during extraction, can match fin clips in WGS performance and represent a viable non-invasive DNA sampling alternative.
Biosafety characteristics and antibacterial activity of probiotic strains against Streptococcus mutans, Aggregatibacter actinomycetemcomitans, and Porphyromonas gingivalis
Authors: Park Jeong-Yong , Lee Ji Yeon , Kim YongGyeong , Kim Byoung-Kook , Kim Byung Kwon , Choi Soo-Im 
Published: January 2025

Abstract

Background
Oral diseases with high prevalence worldwide are recognized as severe health problems. Probiotics are used to prevent oral diseases, including dental caries, oral malodor, periodontitis, and subgingival plaque. In this study, we aimed to confirm the antibacterial effect of probiotics on oral pathogens and to assess their characterization and safety as probiotics.

Methods
The antibacterial effects of Lacticaseibacillus rhamnosus MG4706, Lacticaseibacillus paracasei MG4715, and Limosilactobacillus reuteri MG4722 on the growth biofilm formation of Streptococcus mutans, Aggregatibacter actinomycetemcomitans, and Porphyromonas gingivalis were evaluated. We also investigated the production of antibacterial substances (H2O2 and reuterin) by these strains and their ability to adhere to oral epithelial cells. The safety of L. reuteri MG4722 was verified through whole-genome sequencing analysis and antibiotic susceptibility, lactate dehydrogenase activity, hemolytic activity, and bile acid hydrolase activity. The reuterin biosynthesis genes of L. reuteri MG4722 were identified using genomic analysis.

Results

L. reuteri MG4722 significantly inhibited the growth of S. mutans, A. actinomycetemcomitans, and P. gingivalis and suppressed the biofilm formation by A. actinomycetemcomitans. In addition, it showed considerable adhesion ability to oral epithelial cells. L. reuteri MG4722 produced H2O2 and reuterin as antibacterial substances, as confirmed by the presence of genes encoding the antibacterial compounds reuterin, reuteran, and reutericyclin. L. reuteri MG4722 showed no hemolysis, bile salt hydrolase activity, antibiotic resistance or toxicity to HT-29 cells, and no antibiotic-resistance genes were identified.

Conclusion

L. reuteri MG4722 demonstrated antibacterial effects on oral pathogens by producing antibacterial substances and adhering to oral epithelial cells. These results suggest that L. reuteri MG4722 could be an effective probiotic for oral health.
Proteomic analysis of murine norovirus-infected Raw 264.7 cells reveals the induction of Ras GTPases
Authors: Yun Sung Ho , Rahman Md Arif-Ur , Nam Soo-Bin , Kim Soo Hyeon , Kim Gyuri , Cho Kun , Choi Jong-Soon 
Published: January 2025

Abstract
The human norovirus (abbreviated as HuNV) is the most common agent responsible for acute viral gastroenteritis. Despite being recognized as a water-borne pathogenic virus for a long time, the cellular tropism of norovirus has not yet been clearly explained. The main reason is the lack of appropriate cell culture and animal model systems for HuNV infection. Murine norovirus (abbreviated as MNV) is often used as a proxy for human norovirus when trying to understand the expression profiles left behind by norovirus infection in a host. In the current study, the host response to MNV was examined using the macrophage Raw 264.7 in terms of the altered host proteomes. After MNV infection, host Raw 264.7 cell lysates were collected for proteome profiling at the time points of 0.5 hpi (early phase, control), 16 hpi (mid-phase), and 24 hpi (late phase). LC–MS analysis was employed for label-free shotgun proteomics on the host cell proteomes. The progression of MNV infection status was monitored using an immunofluorescence-conjugated noroviral capsid protein VP1 and a confocal microscope. The up-regulation of Ras GTPases such Rab5A and Rab6A was found to be implicated in norovirus gastroenteritis, as revealed by proteomic profiling. Consequently, the recognition of Ras-related proteins can lead to a better understanding of how noroviral infection affects the immune system of the host cell.