北京若生智能科技有限公司
Drug Database
PH

PHN-021 (PCNH / PHN021)

✓ Approved

PhytoHealth · 小分子 · 小分子

什么是 PHN-021？

PHN-021 是一种小分子，由PhytoHealth研发。该药已获批，用于治疗相关适应症，给药途径：Unknown。

药物档案

商品名PCNH, PHN021
公司PhytoHealth
药物类别小分子
给药途径Unknown
状态Approved
来源： ClinicalTrials.gov, PhytoHealth

治疗适应症

PHN-021 针对 1 个适应症，涉及 1 个治疗领域。

治疗领域疾病/病症分期
Gastrointestinal disordersAbdominal painPhase I

相关研究文献

PubMedThe American journal of sports medicine2026-10-26

Clinical Outcomes of Arthroscopic Femoroacetabular Impingement Surgery for Adolescent Patients With Borderline Hip Dysplasia With a Minimum 5-Year Follow-up.

Nishimura Haruki H, Afetse Eddie K EK, Brown Jarrod J, Felan Nicholas A NA et al.

The relationship between borderline developmental dysplasia of the hip (BDDH) and concomitant femoroacetabular impingement (FAI) has not been established in the adolescent population. To compare the minimum 5-year outcomes after primary hip arthroscopy in adolescent patients with BDDH and FAI to those with FAI alone. Cohort study; Level of evidence, 3. A retrospective review of 122 adolescent patients who underwent primary hip arthroscopy for FAI by the senior author between February 2007 and December 2016 was conducted. Eligible patients who were ≤19 years of age and whose proximal femoral physis had not yet closed and who completed a minimum 5-year follow-up were included. Then, patients with BDDH (lateral center-edge angle [LCEA], 18°-25°) were compared with patients without BDDH (LCEA, ≥25°). Outcome scores, including the modified Harris Hip Score (mHHS), Hip Outcome Score Activities of Daily Living (HOS-ADL), Hip Outcome Score Sport-Specific Subscale (HOS-Sport), Short Form-12 scores, and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) score were prospectively collected. In total, 23 patients with BDDH and 67 patients without BDDH were included. The mean follow-up times for those with and without BDDH were 6.60 years (range, 5.24-9.73 years) and 8.17 years (range, 6.39-10.08 years), respectively (P = .063). After surgery, the BDDH group showed significantly lower mHHS (median, 96 vs 100; P = .027) and HOS-Sport (97 vs 100; P = .014) values and a higher WOMAC score (4 vs 2; P = .021) compared with the non-BDDH group. However, when looking at the percentage of patients achieving the minimal clinically important difference (MCID) and Patient Acceptable Symptom State (PASS) with mHHS, HOS-ADL, and HOS-Sport at 5 years, there were no significant differences between the 2 groups. Only 1 patient (4.3%) required revision hip arthroscopy in the BDDH group, while 8 patients (12%) in the non-BDDH group underwent revision hip arthroscopy. There were no cases that required conversion to periacetabular osteotomy. Hip arthroscopy for FAI in growing adolescents with BDDH is safe and effective and yields equivalent achievement in PASS and MCID with clinical outcomes when compared to adolescents without BDDH.

PMID 42929514
阅读全文 →
PubMedThe American journal of sports medicine2026-10-26

Longitudinal Serum Biomarker Profiles of Inflammation and Cartilage Matrix Metabolism During the First Year After Anterior Cruciate Ligament Reconstruction.

Lemus Sergio A SA, Spang Jeffrey T JT, Longobardi Lara L, Davis-Wilson Hope C HC et al.

Anterior cruciate ligament (ACL) injury initiates biological processes linked to joint tissue degeneration. The longitudinal time course of serum biomarkers reflecting inflammation and cartilage metabolism after ACL reconstruction (ACLR), particularly in comparison with uninjured controls, has not been characterized across the first postoperative year. Inflammatory (monocyte chemoattractant protein-1 [MCP-1]) and degradative (matrix metalloproteinase-3 [MMP-3]) biomarker concentrations would be elevated pre-ACLR and decrease over time, whereas cartilage turnover biomarker concentrations (cartilage oligomeric matrix protein [COMP] and type II collagen degradation-to-synthesis ratio [C2C:CPII]) would increase postoperatively. Also, pre-ACLR biomarker concentrations would be associated with concentrations at 6 and 12 months post-ACLR. Cohort study; Level of evidence, 2. A total of 33 individuals with ACL injuries (52% female; mean age, 20.8 ± 2.4 years) were evaluated pre-ACLR and at 6 and 12 months post-ACLR. A total of 33 matched uninjured controls were included. Serum concentrations of MCP-1, MMP-3, COMP, and C2C:CPII were assessed using enzyme-linked immunosorbent assays. Linear mixed-effects models with model-based contrasts were used to evaluate differences across groups and time points. ACLR-only linear mixed-effects regression models were used to assess associations between pre-ACLR and follow-up biomarker concentrations. Exploratory post hoc models evaluated differences by concomitant injury status. MCP-1 was elevated in individuals with ACL injuries compared with controls at all ACLR time points (all Padj < .001), with no change across ACLR time points. MMP-3 increased from pre-ACLR to 6 months post-ACLR (Padj < .001) but did not differ from controls at any time point. COMP was consistently greater in individuals with ACL injuries than in controls at all time points (all Padj≤ .021), with no changes across ACLR time points. C2C:CPII was greater at 12 months post-ACLR than at pre-ACLR and 6 months post-ACLR (both Padj < .001) and than in uninjured controls (Padj = .001). Pre-ACLR MCP-1, MMP-3, and COMP concentrations were associated with concentrations at both 6 and 12 months post-ACLR (all P≤ .006), whereas C2C:CPII was associated only with 12-month concentrations (P = .018). Inflammatory and cartilage-related biomarkers remain altered throughout the first year after ACLR, suggesting that the biological response is not fully resolved by reconstruction and standard rehabilitation but extends beyond the early postoperative period.

PMID 42929659
阅读全文 →
PubMedBrain research bulletin2026-10-25

Interpretable Machine Learning Model Based on Radiomic Features of Hippocampal Subfields for Classifying Zoster-associated Pain.

Wen Xin X, Peng Rusheng R, Wang Maohua M, Yu Mingling M et al.

Postherpetic neuralgia (PHN), the most common complication of herpes zoster (HZ), is difficult to prevent due to limited understanding of the mechanisms underlying the transition from acute to chronic pain and the lack of objective neuroimaging biomarkers for individualized risk stratification. In this study, we aimed to develop interpretable machine learning models based on hippocampal subfield radiomics to classify zoster-associated pain (ZAP) patients and identify neuroimaging biomarkers reflecting microstructural alterations in hippocampus associated with ZAP. High-resolution 3D T1-weighted MR images were obtained from 28 PHN patients, 25 HZ patients, and 21 healthy controls (HCs). We extracted radiomic features of ten hippocampal subfields and used five machine learning classification algorithms to identify the most contributive subfield and robust model for classifying ZAP patients. Furthermore, SHapley Additive exPlanations (SHAP) was used to interpret the optimal model. In distinguishing ZAP patients from HCs, the SVM_Linear model based on the left subiculum radiomics achieved the highest performance with an AUC of 0.740, whereas the Logistic_L1 model based on the right CA4-DG and left SR-SL-SM radiomics showed the best performance with an AUC of 0.799 in distinguishing PHN patients from HZ patients. SHAP analysis revealed that SmallAreaEmphasis from the right CA4-DG subfield was the dominant feature for identifying PHN patients, followed by ClusterShade from the left SR-SL-SM subfield. Furthermore, both features showed strong associations with disease duration. These results suggest that hippocampal subfield radiomics can effectively stratify ZAP phases. Specifically, right CA4-DG radiomic features may serve as effective neuroimaging biomarkers associated with disease chronicity and have the potential for early risk stratification and intervention of ZAP.

PMID 42925999
阅读全文 →
PubMedJournal of human lactation : official journal of International Lactation Consultant Association2026-10-25

Determinants of Potentially Toxic Element Concentrations in Human Colostrum: A Cross- Sectional Study in Curitiba, Southern Brazil.

Kulig Godinho Ana Paula AP, Becker Jorge Siqueira Ilanna Mirela IM, Moreira Nunes Ribeiro Menezes Iohanna I, Padovan Dos Santos Mayara M et al.

Human milk, particularly colostrum, is a valuable matrix for human biomonitoring because it reflects early-life exposure to potentially toxic elements during a critical period of neonatal development. To identify biological, socioeconomic, behavioral, and environmental factors associated with aluminum, arsenic, cadmium, and lead concentrations in colostrum from lactating women living in Southern Brazil. This cross-sectional study included 61 lactating women recruited at a public maternity hospital. Colostrum samples were collected, lyophilized, digested, and analyzed using graphite furnace atomic absorption spectrometry and inductively coupled plasma optical emission spectrometry. Element-specific statistical strategies were applied to account for left-censored data. Logistic regression models were used to evaluate factors associated with detectable concentrations (≥ limit of quantification), and multiple linear regression models were applied for continuous outcomes when all samples were quantifiable. Arsenic concentrations were below detection limits in all samples. Cadmium showed extreme left-censoring, with only three samples above the limit of quantification. Lead concentrations were quantifiable in 45.9% of samples and tap water consumption showed a borderline association with detectable lead (OR = 3.01, p = .066). Aluminum was detected in 100% of samples and was inversely associated with maternal age (β = -0.038, p = .021). Potentially toxic elements showed distinct detection patterns and determinants in colostrum. These findings support the use of colostrum as a valuable matrix for assessing early-life chemical exposure and may inform maternal-infant environmental biomonitoring strategies while reinforcing breastfeeding promotion and protection.

PMID 42921693
阅读全文 →
PubMedPediatric cardiology2026-10-23

Z-Score Calculators for Cross Sectional Area to Height Ratio of the Aortic Root and Ascending Aorta in Healthy Children.

Chaudhary Anila A AA, Tomlinson Alexis Z AZ, Drant Stacey S, Jones Andrea L AL

In pediatrics, echocardiographic measurements of the aorta are normalized using body surface area (BSA), which do not account for differences in body composition amongst children or as they grow. Height has been shown to have a linear relationship with measures of aortic size in pediatrics. Data from the Pediatric Heart Network (PHN) Echo Z-Score database was used to develop z-scores for cross sectional area to height ratio (CSA/ht) on 3215 healthy pediatric patients ≤ 18 years old. Aortic root and ascending aorta CSA/ht (cm2/m) were calculated. Linear regression was performed to assess the relationship between patient sex, age at echocardiogram, and CSA/ht of the aortic root. An interaction term was included to allow the effect of age to vary by sex. Estimates from the final regression model were utilized in the z-score calculator. An identical analysis was repeated for ascending aorta CSA/ht. Older children had larger aortic root CSA/ht (β = 0.10, p < 0.001) and ascending aorta CSA/ht (β = 0.08, p < 0.001). Male children had larger aortic root CSA/ht (β = 0.13, p < 0.001) and ascending aorta CSA/ht (β = 0.08, p < 0.001). There was a significant interaction of sex and age in the aortic root model (β = 0.015, p < 0.001), but not in the ascending aorta model (β = 0.003, p = 0.16). We created two z-score calculators for CSA/ht of the aortic root and the ascending aorta in normal children, ideally allowing for more accurate assessment of aortic size in children.

PMID 42909614
阅读全文 →
PubMedBMC psychiatry2026-10-23

Accelerated brain aging associated with executive deficits in adolescence and early adulthood among individuals with schizophrenia and genetic high risk.

Deng Caijiu C, Wu Peiyi P, Kong Lingtao L, Zhou Yifang Y et al.

Abnormal brain development and cognitive function are present in adolescence and early adulthood of schizophrenia (SZ). However, it is still unclear whether these developmental abnormalities and cognitive deficits occur in adolescence and early adulthood in individuals at genetic high risk (GHR). This study aims to examine brain age gap differences during adolescence and early adulthood in individuals with SZ, GHR, and healthy control (HC), as well as their associations with cognitive function. This study recruited a total of 240 subjects aged between 12 and 25, comprising 83 SZ, 48 GHR, and 109 HC. We calculated all participants' brain age gap using their structural MRI. The subtests of Wisconsin Card Sorting Test were utilized to evaluate executive function. Compared to HC group, both GHR group (P = .021) and SZ (P < .001) group showed greater brain age gap (brain age > chronological age). Notably, within GHR group, greater brain age gap was associated with higher non-perseverative errors in executive function (r=.39, PFDR=0.035), whereas in SZ group, it was correlated with higher perseverative errors (r=.35, PFDR=0.005). This study suggests that changes in brain age during adolescence and early adulthood in SZ and GHR individuals may reflect disease's genetic susceptibility. A greater brain age gap may be associated with the onset and progression of executive deficits in SZ.

PMID 42919187
阅读全文 →

注册免费账户还可查看另外 9996 篇文献

免费注册查看全部文献 →

了解更多PHN-021