Accelerating diabetic wound healing by ROS-scavenging lipid nanoparticle-mRNA formulation.

Current treatment options for diabetic wounds face challenges due to low efficacy, as well as potential side effects and the necessity for repetitive treatments. To address these issues, we report a formulation utilizing trisulfide-derived lipid nanoparticle (TS LNP)-mRNA therapy to accelerate diabetic wound healing by repairing and reprogramming the microenvironment of the wounds. A library of reactive oxygen species (ROS)-responsive TS LNPs was designed and developed to encapsulate interleukin-4 (IL4) mRNA. TS2-IL4 LNP-mRNA effectively scavenges excess ROS at the wound site and induces the expression of IL4 in macrophages, promoting the polarization from the proinflammatory M1 to the anti-inflammatory M2 phenotype at the wound site. In a diabetic wound model of db/db mice, treatment with this formulation significantly accelerates wound healing by enhancing the formation of an intact epidermis, angiogenesis, and myofibroblasts. Overall, this TS LNP-mRNA platform not only provides a safe, effective, and convenient therapeutic strategy for diabetic wound healing but also holds great potential for clinical translation in both acute and chronic wound care.

Cryo-EM structure of SRP68/72 reveals an extended dimerization domain with RNA-binding activity.

The signal recognition particle (SRP) is a critical component in protein sorting pathways in all domains of life. Human SRP contains six proteins bound to the 7S RNA and their structures and functions have been mostly elucidated. The SRP68/72 dimer is the largest SRP component and is essential for SRP function. Although the structures of the SRP68/72 RNA binding and dimerization domains have been previously reported, the structure and function of large portions of the SRP68/72 dimer remain unknown. Here, we analyse full-length SRP68/72 using cryo-EM and report that SRP68/72 depend on each other for stability and form an extended dimerization domain. This newly observed dimerization domain is both a protein- and RNA-binding domain. Comparative analysis with current structural models suggests that this dimerization domain undergoes dramatic translocation upon SRP docking onto SRP receptor and eventually comes close to the Alu domain. We propose that the SRP68/72 dimerization domain functions by binding and detaching the Alu domain and SRP9/14 from the ribosomal surface, thus releasing elongation arrest upon docking onto the ER membrane.

STING Agonist-Derived LNP-mRNA Vaccine Enhances Protective Immunity Against SARS-CoV-2.

Lipid nanoparticle (LNP)-mediated delivery of messenger RNA (mRNA) COVID-19 vaccines has provided large-scale immune protection to the public. To elicit a robust immune response against SARS-CoV-2 infections, antigens produced by mRNAs encoding SARS-CoV-2 Spike glycoprotein need to be efficiently delivered and presented to antigen-presenting cells such as dendritic cells (DCs). As concurrent innate immune stimulation can facilitate the antigen presentation process, a library of non-nucleotide STING agonist-derived amino lipids (SALs) was synthesized and formulated into LNPs for mRNA delivery. SAL12 lipid nanoparticles (SAL12-LNPs) were identified as most potent in delivering mRNAs encoding the Spike glycoprotein (S) of SARS-CoV-2 while activating the STING pathway in DCs. Two doses of SAL12 S-LNPs by intramuscular immunization elicited potent neutralizing antibodies against SARS-CoV-2 in mice.

Variables associated with joint involvement and development of a prediction rule for arthritis in patients with psoriasis. An analysis of the Italian PsoReal database.

BACKGROUND: Limited data exist to predict the development of psoriatic arthritis (PsA) in patients with psoriasis (PsO). OBJECTIVE: To analyze factors associated with incident PsA in patients with PsO, and to develop a predictive algorithm for progression to arthritis using a full set of variables and a restricted one applicable to administrative data. METHODS: Cohort study within the PsoReal registry in Italy. Multivariable generalized linear models were used to assess factors associated with PsA and to derive a predictive model. RESULTS: Among 8895 patients, 226 PsA cases were identified (incidence 1.9 per 100 patient-years). Independent predictors in the full model were as follows: female sex, age 40 to 59 years, body mass index ≥ 25, chronic-plaque PsO features, presence of palmoplantar pustulosis, hospitalization for PsO in the last 5 years, and previous use of systemic PsO therapy (area under the receiver operating characteristic curve = 0.74). Female sex, age 40 to 59 years, hospitalization for PsO, and previous use of systemic PsO therapy were independent predictors in the restricted model (area under the receiver operating characteristic curve = 0.72). LIMITATIONS: Lack of other potential predictors for PsA. CONCLUSION: Our models could be used by clinicians and health authorities when planning intervention and population surveillance. Future studies should confirm our models using larger datasets and additional variables.

Are price discounts on sugar-sweetened beverages (SSB) linked to household SSB purchases? - a cross-sectional study in a large US household and retail scanner database.

BACKGROUND: Price promotions on sugar-sweetened beverages (SSBs) are commonly used by retailers to provide economic incentives for purchasing. Surprisingly, there is a lack of high-quality articles that examine the frequency and magnitude of sugary beverage discounting and consumer responses to discounts. The objective of this study is to quantify the association between exposure to price discounts and SSB purchases. METHODS: This cross-sectional study linked 2016 SSB consumption data from a U.S. household consumer panel (analytic sample N = 11,299 households) and weekly prices at stores where they shopped. We derived percent of the time SSBs were discounted (annual promotion frequency) and the amount of the discount (annual promotion magnitude) and assessed their association with household annual per capita SSB purchase ounces. Linear regression models adjusted for household size, income per capita, age, education, presence of children, race, occupation, region, and urbanicity. We also evaluated whether the association between promotion and purchase varied by socioeconomic status and race subgroups. Data were analyzed in 2019-2020. RESULTS: On average, households were exposed to SSBs price promotions 44% of the time. A 10-percentage point increase in annual SSB promotion frequency was associated with 13.7% increase in annual per capita purchasing (P < 0.0001), and a 1-percentage point increase in annual SSB promotion magnitude was associated with 15.3% increase in annual per capita purchasing (P < 0.0001). These associations did no vary significantly across socioeconomic status and race subgroups (Interaction P > 0.2). CONCLUSIONS: More frequent and deeper price promotion was associated with higher annual per capita SSB purchases. Restricting SSB price promotions may be effective at reducing SSB consumption.

Automatic diagnosis of COVID-19 infection based on ontology reasoning.

BACKGROUND: 2019-nCoV has been spreading around the world and becoming a global concern. To prevent further widespread of 2019-nCoV, confirmed and suspected cases of COVID-19 infection are suggested to be kept in quarantine. However, the diagnose of COVID-19 infection is quite time-consuming and labor-intensive. To alleviate the burden on the medical staff, we have done some research on the intelligent diagnosis of COVID-19. METHODS: In this paper, we constructed a COVID-19 Diagnosis Ontology (CDO) by utilizing Protégé, which includes the basic knowledge graph of COVID-19 as well as diagnostic rules translated from Chinese government documents. Besides, SWRL rules were added into the ontology to infer intimate relationships between people, thus facilitating the efficient diagnosis of the suspected cases of COVID-19 infection. We downloaded real-case data and extracted patients' syndromes from the descriptive text, so as to verify the accuracy of this experiment. RESULTS: After importing those real instances into Protégé, we demonstrated that the COVID-19 Diagnosis Ontology showed good performances to diagnose cases of COVID-19 infection automatically. CONCLUSIONS: In conclusion, the COVID-19 Diagnosis Ontology will not only significantly reduce the manual input in the diagnosis process of COVID-19, but also uncover hidden cases and help prevent the widespread of this epidemic.

The uncharacterized bacterial protein YejG has the same architecture as domain III of elongation factor G.

InterPro family IPR020489 comprises ~1000 uncharacterized bacterial proteins. Previously we showed that overexpressing the Escherichia coli representative of this family, EcYejG, conferred low-level resistance to aminoglycoside antibiotics. In an attempt to shed light on the biochemical function of EcYejG, we have solved its structure using multinuclear solution NMR spectroscopy. The structure most closely resembles that of domain III from elongation factor G (EF-G). EF-G catalyzes ribosomal translocation and mutations in EF-G have also been associated with aminoglycoside resistance. While we were unable to demonstrate a direct interaction between EcYejG and the ribosome, the protein might play a role in translation.

Nonlinear trajectory of GFR in children before RRT.

GFR decline in patients with CKD has been widely approximated using linear models, but this linearity assumption is not well validated. We conducted a matched case-control study in children from the Chronic Kidney Disease in Children (CKiD) cohort ages 1-16 years with mild to moderate CKD to assess whether GFR decline follows a nonlinear trajectory as CKD approaches ESRD. Children (n=125) who initiated RRT (cases) during follow-up were individually matched by CKD stage at baseline and glomerular/nonglomerular diagnosis with children (n=125) who remained RRT-free when the corresponding case initiated RRT (controls). GFR trajectories were compared using log-linear and piecewise log-linear mixed effects models adjusted for baseline characteristics. From study entry to 18 months before RRT, GFR declined 7% faster among cases compared with controls. However, GFR declined 26% faster among cases compared with controls (P<0.001) during the 18 months before RRT. Nonlinearity in the rate of kidney function loss, which was shown in this cohort, may preclude accurate clinical prediction of the timing of RRT and adequate patient preparation. This study should prompt the characterization of predictive factors that may contribute to an acceleration of kidney function decline.

Tradeoffs and decision-making in moderate to severe psoriasis for oral versus injectable treatments: data from patients and dermatologists in Australia.

BACKGROUND: Oral systemic and injectable biologic treatments are available in Australia to treat moderate to severe psoriasis. OBJECTIVE: To examine how patients and dermatologists in Australia choose between oral and injectable treatments for psoriasis. METHODS: In this discrete choice experiment (DCE), adults with moderate to severe psoriasis and dermatologists were asked to choose between 2 treatments labeled by mode of administration ('oral' or 'subcutaneous injection'), each with randomly assigned levels for 9 treatment attributes. Needle fear was rated by patients. RESULTS: Completed surveys from 178 patients and 43 dermatologists were included in the analysis. Symptom reduction, safety, and mode of administration were attributes found to have a significant impact on treatment choice; dosing frequency was a significant attribute for the injectable option. When treatment attributes were held equal, patients and dermatologists preferred oral versus injectable treatments for moderate disease. Patients with higher levels of needle fear were more likely to favor an oral treatment versus patients with lower levels of needle fear. LIMITATIONS: Participation bias may limit the generalizability of these findings. CONCLUSION: Participants preferred oral over injectable treatment for moderate psoriasis. These findings corroborate the need for efficacious oral therapies to treat the disease.

Unmet Needs and Treatment Preference of Systemic Treatments for Moderate-to-Severe Psoriasis from the Perspectives of Patients and Dermatologists in China.

INTRODUCTION: The treatment options for moderate to severe psoriasis (msPsO) in China have been greatly increased with the approvals of biologics. However, the unmet needs and treatment preferences of systemic treatments for msPsO in China remain unclarified. METHODS: Fifty dermatologists and 300 patients with msPsO (41% with severe psoriasis) were surveyed for effectiveness, safety, treatment convenience, and treatment preferences (using a choice-based conjoint questionnaire). Descriptive statistics and conjoint simulation analyses were employed to summarize survey information and assess treatment preferences. RESULTS: Both patients and dermatologists reported shorter treatment duration for oral drugs (2.7-6.2 months) than that for biologics (9.5-17.0 months). The most frequently reported treatment discontinuation reasons by the surveyed patients and dermatologists were unsatisfactory effectiveness (average 84.5%) for oral drugs and loss of efficacy over time (average 68.5%) for biologics. Commonly reported treatment inconveniences included regular lab tests for traditional oral drugs (average 71.5%) and administration assistance for biologics (average 58.0%). Injection site reactions (average 51.5%) and needle fear (average 35.5%) were frequently reported for biologics among the surveyed patients and dermatologists. Once-daily oral treatment was preferred over biweekly subcutaneous injection treatment when the two had comparable attributes (average in patients 87.1% vs. 12.9%; average in dermatologists 93.4% vs. 6.6%). CONCLUSIONS: Unmet needs of systemic treatments remain for msPsO in China. Once-daily oral treatment is preferred over biweekly subcutaneous injections to treat msPsO when other treatment attributes are comparable.

Dioscin decreases M2 polarization via inhibiting a positive feedback loop between RBM47 and NF-κB in glioma.

BACKGROUND: The role of the glioblastoma (GBM) microenvironment is pivotal in the development of gliomas. Discovering drugs that can traverse the blood-brain barrier and modulate the tumor microenvironment is crucial for the treatment of GBM. Dioscin, a steroidal saponin derived from various kinds of plants and herbs known to penetrate the blood-brain barrier, has shown its powerful anti-tumor activity. However, little is known about its effects on GBM microenvironment. METHODS: Bioinformatics analysis was conducted to assess the link between GBM patients and their prognosis. Multiple techniques, including RNA sequencing, immunofluorescence staining, Western blot analysis, RNA-immunoprecipitation (RIP) assays, and Chromatin immunoprecipitation (CHIP) analysis were employed to elucidate the mechanism through which Dioscin modulates the immune microenvironment. RESULTS: Dioscin significantly impaired the polarization of macrophages into the M2 phenotype and enhanced the phagocytic ability of macrophages in vitro and in vivo. A strong correlation between high expression of RBM47 in GBM and a detrimental prognosis for patients was demonstrated. RNA-sequencing analysis revealed an association between RBM47 and the immune response. The inhibition of RBM47 significantly impaired the recruitment and polarization of macrophages into the M2 phenotype and enhanced the phagocytic ability of macrophages. Moreover, RBM47 could stabilize the mRNA of inflammatory genes and enhance the expression of these genes by activating the NF-κB pathway. In addition, NF-κB acts as a transcription factor that enhances the transcriptional activity of RBM47. Notably, we found that Dioscin could significantly inhibit the activation of NF-κB and then downregulate the expression of RBM47 and inflammatory genes protein. CONCLUSION: Our study reveals that the positive feedback loop between RBM47 and NF-κB could promote immunosuppressive microenvironment in GBM. Dioscin effectively inhibits M2 polarization in GBM by disrupting the positive feedback loop between RBM47 and NF-κB, indicating its potential therapeutic effects in GBM treatment.

Engineering LNPs with polysarcosine lipids for mRNA delivery.

Since the approval of the lipid nanoparticles (LNP)-mRNA vaccines against the SARS-CoV-2 virus, there has been an increased interest in the delivery of mRNA through LNPs. However, current LNP formulations contain PEG lipids, which can stimulate the generation of anti-PEG antibodies. The presence of these antibodies can potentially cause adverse reactions and reduce therapeutic efficacy after administration. Given the widespread deployment of the COVID-19 vaccines, the increased exposure to PEG may necessitate the evaluation of alternative LNP formulations without PEG components. In this study, we investigated a series of polysarcosine (pSar) lipids as alternatives to the PEG lipids to determine whether pSar lipids could still provide the functionality of the PEG lipids in the ALC-0315 and SM-102 LNP systems. We found that complete replacement of the PEG lipid with a pSar lipid can increase or maintain mRNA delivery efficiency and exhibit similar safety profiles in vivo.

Deucravacitinib Improves Patient-Reported Outcomes in Patients with Moderate to Severe Psoriasis: Results from the Phase 3 Randomized POETYK PSO-1 and PSO-2 Trials.

INTRODUCTION: Deucravacitinib, a novel, oral, selective allosteric tyrosine kinase 2 inhibitor, demonstrated superiority versus placebo and apremilast in the POETYK PSO-1 and PSO-2 studies. We describe patient-reported outcomes with deucravacitinib treatment versus placebo and apremilast in these studies. METHODS: Two multicenter, global, double-blind, placebo- and active comparator-controlled studies randomized patients with moderate-to-severe plaque psoriasis 1:2:1 to placebo, deucravacitinib 6 mg once daily, or apremilast 30 mg twice daily. Score changes from baseline and meaningful within-patient change responses for Psoriasis Symptoms and Signs Diary (PSSD) and Dermatology Life Quality Index (DLQI) were assessed. RESULTS: In POETYK PSO-1 (n = 666) and PSO-2 (n = 1020), respectively, improvement from baseline in PSSD total score was greater with deucravacitinib (- 27.8 and - 30.1) versus placebo (- 4.4 and - 5.9) and apremilast (- 18.9 and - 22.5) at Week 16 and versus apremilast at Week 24 (deucravacitinib: - 32.8 and - 30.7; apremilast: - 21.6 and - 22.8) (nominal p < 0.0001). Improvement from baseline in DLQI score was also greater with deucravacitinib (- 8.5 and - 7.6) versus placebo (- 3.3 and - 3.0) and apremilast (- 5.9 and - 5.8) at Week 16 and versus apremilast at Week 24 (deucravacitinib: - 8.6 and - 7.5; apremilast: - 5.6 and - 5.5) (nominal p < 0.0001). Achievement of meaningful within-patient change in PSSD total score and in DLQI score occurred more frequently with deucravacitinib than placebo and apremilast at Week 16 and versus apremilast at Week 24. CONCLUSIONS: Deucravacitinib demonstrated meaningful improvements in patient-reported outcomes in patients with moderate-to-severe plaque psoriasis compared with apremilast and placebo. CLINICAL TRIAL REGISTRATION: NCT03624127, NCT03611751.

LNP-RNA-engineered adipose stem cells for accelerated diabetic wound healing.

Adipose stem cells (ASCs) have attracted considerable attention as potential therapeutic agents due to their ability to promote tissue regeneration. However, their limited tissue repair capability has posed a challenge in achieving optimal therapeutic outcomes. Herein, we conceive a series of lipid nanoparticles to reprogram ASCs with durable protein secretion capacity for enhanced tissue engineering and regeneration. In vitro studies identify that the isomannide-derived lipid nanoparticles (DIM1T LNP) efficiently deliver RNAs to ASCs. Co-delivery of self-amplifying RNA (saRNA) and E3 mRNA complex (the combination of saRNA and E3 mRNA is named SEC) using DIM1T LNP modulates host immune responses against saRNAs and facilitates the durable production of proteins of interest in ASCs. The DIM1T LNP-SEC engineered ASCs (DS-ASCs) prolong expression of hepatocyte growth factor (HGF) and C-X-C motif chemokine ligand 12 (CXCL12), which show superior wound healing efficacy over their wild-type and DIM1T LNP-mRNA counterparts in the diabetic cutaneous wound model. Overall, this work suggests LNPs as an effective platform to engineer ASCs with enhanced protein generation ability, expediting the development of ASCs-based cell therapies.

Meaningful Change Thresholds for the Psoriasis Symptoms and Signs Diary: A Secondary Analysis of a Randomized Clinical Trial.

Importance: Change from baseline score on the validated Psoriasis Symptoms and Signs Diary (PSSD) is a widely used, patient-reported end point in clinical trials for psoriasis. Meaningful score change thresholds anchored to patient-reported assessments have not been established in a clinical trial setting. Objective: To evaluate meaningful within-patient score change thresholds for the PSSD using data from the phase 3 Program to Evaluate the Efficacy and Safety of Deucravacitinib, a Selective TYK2 Inhibitor (POETYK), PSO-1 clinical trial, which compared the efficacy and safety of deucravacitinib vs placebo and apremilast among adults with moderate to severe plaque psoriasis. Design, Setting, and Participants: In this predefined analysis using data from the POETYK PSO-1 multicenter, randomized, double-blind, placebo-controlled phase 3 clinical trial, conducted from August 7, 2018, to September 2, 2020, 666 adults with moderate to severe plaque psoriasis completed the PSSD daily throughout the trial. Meaningful change thresholds were derived by anchoring mean PSSD score change from baseline to week 16 to category improvements on the Patient Global Impression of Change (PGI-C) and the Patient Global Impression of Severity (PGI-S). Interventions: Deucravacitinib, 6 mg, once daily; placebo; or apremilast, 30 mg, twice daily. Main Outcome and Measures: The main outcome was score change from baseline to week 16 on the PSSD, anchored to the PGI-C and PGI-S. Results: The trial included 666 patients (mean [SD] age, 46.1 [13.4] years; 453 men [68.0%]). Three thresholds were identified using an analysis set of 609 patients. Score improvement of at least 15 points from baseline reflected meaningful within-patient change anchored to the PGI-C. Score improvements of 25 points were supported by both the PGI-C and the PGI-S, while a 30-point score change identified patients with greater improvements in their psoriasis symptoms and signs. Conclusions and Relevance: This analysis suggests that PSSD score improvements of 15, 25, or 30 points represent increasing improvements in disease burden that are meaningful to patients with psoriasis.

mRNA delivery in cancer immunotherapy.

Messenger RNA (mRNA) has drawn much attention in the medical field. Through various treatment approaches including protein replacement therapies, gene editing, and cell engineering, mRNA is becoming a potential therapeutic strategy for cancers. However, delivery of mRNA into targeted organs and cells can be challenging due to the unstable nature of its naked form and the low cellular uptake. Therefore, in addition to mRNA modification, efforts have been devoted to developing nanoparticles for mRNA delivery. In this review, we introduce four categories of nanoparticle platform systems: lipid, polymer, lipid-polymer hybrid, and protein/peptide-mediated nanoparticles, together with their roles in facilitating mRNA-based cancer immunotherapies. We also highlight promising treatment regimens and their clinical translation.

Adoptive cell therapy for cancer treatment.

Adoptive cell therapy (ACT) is a rapidly growing anti-cancer strategy that has shown promise in treating various cancer types. The concept of ACT involves activating patients' own immune cells ex vivo and then transferring them back to the patients to recognize and eliminate cancer cells. Currently, the commonly used ACT includes tumor-infiltrating lymphocytes (TILs), genetically engineered immune cells, and dendritic cells (DCs) vaccines. With the advancement of cell culture and genetic engineering techniques, ACT has been used in clinics to treat malignant hematological diseases and many new ACT-based regimens are in different stages of clinical trials. Here, representative ACT approaches are introduced and the opportunities and challenges for clinical translation of ACT are discussed.

Multitask joint learning with graph autoencoders for predicting potential MiRNA-drug associations.

The occurrence of many diseases is associated with miRNA abnormalities. Predicting potential drug-miRNA associations is of great importance for both disease treatment and new drug discovery. Most computation-based approaches learn one task at a time, ignoring the information contained in other tasks in the same domain. Multitask learning can effectively enhance the prediction performance of a single task by extending the valid information of related tasks. In this paper, we presented a multitask joint learning framework (MTJL) with a graph autoencoder for predicting the associations between drugs and miRNAs. First, we combined multiple pieces of information to construct a high-quality similarity network of both drugs and miRNAs and then used a graph autoencoder (GAE) to learn their embedding representations separately. Second, to further improve the embedding quality of drugs, we added an auxiliary task to classify drugs using the learned representations. Finally, the embedding representations of drugs and miRNAs were linearly transformed to obtain the predictive association scores between them. A comparison with other state-of-the-art models shows that MTJL has the best prediction performance, and ablation experiments show that the auxiliary task can enhance the embedding quality and improve the robustness of the model. In addition, we show that MTJL has high utility in predicting potential associations between drugs and miRNAs by conducting two case studies.