Peripheral neurotoxicity represents one of the most severe dose-limiting adverse reactions associated with oxaliplatin， with genetic polymorphisms playing a significant role in oxaliplatin-induced peripheral neuropathy （OIPN）. OIPN can be categorized as acute or chronic based on onset timing. The former presents clinically as sensory abnormalities or even motor disorders， while the latter presents clinically as limb sensory disorders that persist， numbness or pain in the hands and feet. The transporter genes OCT2， OCTN2， and NHE1 may be implicated in OIPN； drug-metabolizing enzyme gene GSTP1 Ile105Val， DPYD rs1801265， voltage-gated sodium channel （NaV） gene SCN4A rs2302237， SCN9A rs6746030， SCN10A rs12632942， and other associated genes such as HLA-G rs1610696， rs371194629 and CCNH rs2230641， rs3093816 are associated with severe OIPN. Conversely， DNA repair-related gene XRCC1 rs23885， NaV gene SCN9A rs3750904， rs12478318 and rs6754031 are associated with reduced OIPN risk. In the future， the genetic research findings on OIPN can be translated into clinical applications， ultimately achieving individualized precision medicine for patients.

To develop and validate a model for predicting intensive care unit (ICU) mortality risk in patients with malignant tumors complicated by acute respiratory failure (ARF) based on an explainable machine learning framework.

ObjectiveHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） and GC-triple quadrupole MS（GC-QqQ-MS） in combination with non-targeted and targeted metabolomics were employed to systematically analyze the chemical composition differences of Xihuangwan prepared with natural musk and artificial musk， and establish an identification system for them. MethodsThe volatile components of 9 batches of Xihuangwan samples from 8 manufacturers were analyzed by HS-SPME-GC-MS non-targeted metabolomics， and identified by comparing their MS data with the National Institute of Standards and Technology（NIST） spectral library. Orthogonal partial least squares-discriminant analysis（OPLS-DA） was used to identify differential volatile components of Xihuangwan prepared with natural musk and artificial musk. Additionally， GC-QqQ-MS targeted metabolomics was applied to quantify the levels of α-pinene， β-elemene， muscone， dehydroepiandrosterone， bornyl acetate， and octyl acetate in 27 batches of samples from 9 manufacturers. Cluster analysis， principal component analysis（PCA）， and partial least squares-discriminant analysis（PLS-DA） were conducted to further explore the differences in volatile components between Xihuangwan samples prepared with natural musk and artificial musk. ResultsNon-targeted metabolomics identified 291 volatile compounds in Xihuangwan， including alkanes， esters， alkanes， alcohols， ketones， naphthalenes and others. OPLS-DA analysis revealed distinct separation between Xihuangwan samples containing artificial musk（A1， C1， D1， E1， F1， G1， I1） and those containing natural musk（H1， H3）. A total of 30 differential metabolites were identified. The relative contents of these 30 differential metabolites were visualized using a radar chart， revealing significant differences in the levels of octanol， borneol acetate and muscone. Cluster analysis and PCA results from targeted metabolomics indicated that Xihuangwan could be classified into two distinct groups：one composed of natural musk（H1， H3） and the other of artificial musk， sample H2. PLS-DA identified muscone， octyl acetate， and dehydroepiandrosterone as key differential volatile components. Although no significant difference was observed in the content of octyl acetate between the two groups， statistically significant differences were found for muscone and dehydroepiandrosterone（P<0.05）. ConclusionMuscone and dehydroepiandrosterone can be used for the differentiation of Xihuangwan samples containing natural musk from those containing artificial musk. This study systematically and comprehensively analyzed the differences in the types and contents of major volatile components in Xihuangwan prepared with natural musk and artificial musk， providing a scientific basis for quality evaluation and control of Xihuangwan.

ObjectiveHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） and GC-triple quadrupole MS（GC-QqQ-MS） in combination with non-targeted and targeted metabolomics were employed to systematically analyze the chemical composition differences of Xihuangwan prepared with natural musk and artificial musk， and establish an identification system for them. MethodsThe volatile components of 9 batches of Xihuangwan samples from 8 manufacturers were analyzed by HS-SPME-GC-MS non-targeted metabolomics， and identified by comparing their MS data with the National Institute of Standards and Technology（NIST） spectral library. Orthogonal partial least squares-discriminant analysis（OPLS-DA） was used to identify differential volatile components of Xihuangwan prepared with natural musk and artificial musk. Additionally， GC-QqQ-MS targeted metabolomics was applied to quantify the levels of α-pinene， β-elemene， muscone， dehydroepiandrosterone， bornyl acetate， and octyl acetate in 27 batches of samples from 9 manufacturers. Cluster analysis， principal component analysis（PCA）， and partial least squares-discriminant analysis（PLS-DA） were conducted to further explore the differences in volatile components between Xihuangwan samples prepared with natural musk and artificial musk. ResultsNon-targeted metabolomics identified 291 volatile compounds in Xihuangwan， including alkanes， esters， alkanes， alcohols， ketones， naphthalenes and others. OPLS-DA analysis revealed distinct separation between Xihuangwan samples containing artificial musk（A1， C1， D1， E1， F1， G1， I1） and those containing natural musk（H1， H3）. A total of 30 differential metabolites were identified. The relative contents of these 30 differential metabolites were visualized using a radar chart， revealing significant differences in the levels of octanol， borneol acetate and muscone. Cluster analysis and PCA results from targeted metabolomics indicated that Xihuangwan could be classified into two distinct groups：one composed of natural musk（H1， H3） and the other of artificial musk， sample H2. PLS-DA identified muscone， octyl acetate， and dehydroepiandrosterone as key differential volatile components. Although no significant difference was observed in the content of octyl acetate between the two groups， statistically significant differences were found for muscone and dehydroepiandrosterone（P<0.05）. ConclusionMuscone and dehydroepiandrosterone can be used for the differentiation of Xihuangwan samples containing natural musk from those containing artificial musk. This study systematically and comprehensively analyzed the differences in the types and contents of major volatile components in Xihuangwan prepared with natural musk and artificial musk， providing a scientific basis for quality evaluation and control of Xihuangwan.

Since ancient Greece， technology has been viewed as the antithesis of nature， and philosophers have often resorted to the moralistic concept of nature to criticize “unnatural” technologies. In recent years， the “appeal to nature” argument has gradually become one of the arguments for denying the legitimacy of emerging technologies. This argument argues that technology or behavior has no ethical justification because it breaks through pre-existing natural limitations. Human gene enhancement technology breaks the natural restrictions on humans by modifying the human genetic structure， and this transformation makes it the focus of the “appeal to nature” argument. However， the reliability of the “appeal to nature” argument has not been clarified as it should be. This paper analyzed and reshaped the “appeal to nature” argument for human genetic enhancement technology， examined the validity of the argument structure and the reliability of the argument premise of the “appeal to nature” argument， demonstrated the limitations of the “appeal to nature” argument， and freed the development of emerging technologies from the accusations of unreliable “appeal to nature” argument.

Objective: To investigate the health benefits of 24-hour activity behavioral changes on the physical shape and cardiorespiratory endurance of middle school students with central obesity, so as to provide a basis for improving the health status of middle school students with central obesity. Methods: From October to December 2022, a total of 362 middle school students with central obesity were recruited from 4 middle schools (2 senior high schools and 2 junior high schools) in Dalian by using the random number table method. The 24-hour activity behavior was understood using the International Physical Activity Questionnaire short form and Pittsburgh Sleep Quality Index. The height, weight, waist circumference, body fat percentage, lung capacity, heart function index, maximum oxygen uptake (VO-2max) of the subjects were measured, and body mass index (BMI) and waist-to-height ratio (WHtR) were calculated. Physical shape and cardiorespiratory endurance indicators were normalized, and the component regression was used to explore the correlation between 24-hour activity behavior and physical shape, as well as cardiorespiratory endurance; finally, an isochronous replacement model was established. Results: The results of the component regression showed that sleep of the participants was positively correlated with BMI, waist circumference, and WHtR ( β =2.35, 5.21, 0.01); and sedentary behavior (SB) was negatively correlated with lung capacity and VO-2max ( β =-392.45, -1.01), and positively correlated with BMI, waist circumference, WHtR, body fat percentage and cardiac function index ( β = 4.67 , 5.10, 0.14, 3.53, 0.29) ( P <0.05). Low physical activity (LPA) was negatively correlated with BMI, WHtR, body fat percentage and cardiac function index ( β =-2.03, -3.70, -0.82 ), and positively correlated with lung capacity and VO-2max ( β =322.23, 0.50) ( P <0.05). Moderate-to-vigorous physical activity (MVPA) had a negative correlation with BMI, waist circumference, WHtR, body fat percentage and heart function index ( β = -0.48 , -1.20, -0.20, -4.53, -1.12), and a positive correlation with lung capacity and VO-2max ( β =393.13, 1.51) ( P < 0.05 ). Increasing MVPA for 30 minutes while reducing SB resulted in a decrease of 0.17-2.05 units in BMI, waist circumference, WHtR, body fat percentage and heart function index, and an increase of 0.38-0.43 units in lung capacity and VO-2max ( P <0.05). When MVPA was replaced by SB, the negative benefits were the greatest, with BMI, waist circumference, WHtR, body fat percentage and heart function index increasing by 0.23-3.06 units ( P < 0.05 ). Conclusions Shifts in the 24-hour behavior pattern among obese middle school students may result in significant health benefits. Increasing MVPA by 30 minutes per day while reducing SB can reduce waist circumference, WHtR and body fat percentage, while also improve cardiorespiratory endurance.

Laparoscopic subtotal cholecystectomy (LSC) has been a safe and viable alternative to conversion to laparotomy in cases of severe cholecystitis. The objective of this study is to determine the utility of intraoperative choledochoscopy in LSC for the exploration of the gallbladder, cyst duct, and subsequent stone clearance of the cystic duct in cases of severe cholecystitis. A total of 72 patients diagnosed with severe cholecystitis received choledochoscopy-assisted laparoscopic subtotal cholecystectomy (CALSC). A choledochoscopy was performed to explore the gallbladder cavity and/or cystic duct, and to extract stones using a range of techniques. The clinical records, including the operative records and outcomes, were subjected to analysis. No LSC was converted to open surgery, and no bile duct or vascular injuries were sustained. All stones within the cystic duct were removed by a combination of techniques, including high-frequency needle knife electrotomy, basket, and electrohydraulic lithotripsy. A follow-up examination revealed the absence of residual bile duct stones, with the exception of one common bile duct stone, which was extracted via endoscopic retrograde cholangiopancreatography. In certain special cases, CALSC may prove to be an efficacious treatment for the management of severe cholecystitis. This technique allows for optimal comprehension of the situation within the gallbladder cavity and cystic duct, facilitating the removal of stones from the cystic duct and reducing the residue of the non-functional gallbladder remnant.

Laparoscopic subtotal cholecystectomy (LSC) has been a safe and viable alternative to conversion to laparotomy in cases of severe cholecystitis. The objective of this study is to determine the utility of intraoperative choledochoscopy in LSC for the exploration of the gallbladder, cyst duct, and subsequent stone clearance of the cystic duct in cases of severe cholecystitis. A total of 72 patients diagnosed with severe cholecystitis received choledochoscopy-assisted laparoscopic subtotal cholecystectomy (CALSC). A choledochoscopy was performed to explore the gallbladder cavity and/or cystic duct, and to extract stones using a range of techniques. The clinical records, including the operative records and outcomes, were subjected to analysis. No LSC was converted to open surgery, and no bile duct or vascular injuries were sustained. All stones within the cystic duct were removed by a combination of techniques, including high-frequency needle knife electrotomy, basket, and electrohydraulic lithotripsy. A follow-up examination revealed the absence of residual bile duct stones, with the exception of one common bile duct stone, which was extracted via endoscopic retrograde cholangiopancreatography. In certain special cases, CALSC may prove to be an efficacious treatment for the management of severe cholecystitis. This technique allows for optimal comprehension of the situation within the gallbladder cavity and cystic duct, facilitating the removal of stones from the cystic duct and reducing the residue of the non-functional gallbladder remnant.

Algorithmic systems based on artificial intelligence(AI)and machine learning(ML)have undergone rapid advancement in recent years, demonstrating extensive application across diverse ophthalmic disorders. Owing to the public availability of multiple global databases, significant progress has been achieved in the training and development of AI-integrated algorithms utilizing multimodal ophthalmic imaging modalities, including fundus photography and optical coherence tomography(OCT). These advancements have established a foundation for precision medicine and efficient healthcare delivery. The diagnosis of macular diseases relies on the identification of subtle alterations in tissue anatomy, where AI demonstrated exceptional performance in detecting intraocular biomarkers and evaluating anatomical changes during disease progression, with particularly prominent utility in the field of macular pathologies. This article provides a comprehensive review of the current applications of AI in macular diseases, aiming to synthesize existing research achievements and current challenges, while proposing visionary prospects for the broader implementation of AI in ophthalmology and even systemic medicine in the future.

Laparoscopic subtotal cholecystectomy (LSC) has been a safe and viable alternative to conversion to laparotomy in cases of severe cholecystitis. The objective of this study is to determine the utility of intraoperative choledochoscopy in LSC for the exploration of the gallbladder, cyst duct, and subsequent stone clearance of the cystic duct in cases of severe cholecystitis. A total of 72 patients diagnosed with severe cholecystitis received choledochoscopy-assisted laparoscopic subtotal cholecystectomy (CALSC). A choledochoscopy was performed to explore the gallbladder cavity and/or cystic duct, and to extract stones using a range of techniques. The clinical records, including the operative records and outcomes, were subjected to analysis. No LSC was converted to open surgery, and no bile duct or vascular injuries were sustained. All stones within the cystic duct were removed by a combination of techniques, including high-frequency needle knife electrotomy, basket, and electrohydraulic lithotripsy. A follow-up examination revealed the absence of residual bile duct stones, with the exception of one common bile duct stone, which was extracted via endoscopic retrograde cholangiopancreatography. In certain special cases, CALSC may prove to be an efficacious treatment for the management of severe cholecystitis. This technique allows for optimal comprehension of the situation within the gallbladder cavity and cystic duct, facilitating the removal of stones from the cystic duct and reducing the residue of the non-functional gallbladder remnant.